AdithyaSK commited on
Commit
19df7aa
·
verified ·
1 Parent(s): 2144942

Add files using upload-large-folder tool

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. .gitattributes +7 -0
  2. Qwen-0.5B-GRPO-Code-vllm-base/checkpoint-700/added_tokens.json +24 -0
  3. Qwen-0.5B-GRPO-Code-vllm-base/checkpoint-700/config.json +29 -0
  4. Qwen-0.5B-GRPO-Code-vllm-base/checkpoint-700/generation_config.json +14 -0
  5. Qwen-0.5B-GRPO-Code-vllm-base/checkpoint-700/merges.txt +0 -0
  6. Qwen-0.5B-GRPO-Code-vllm-base/checkpoint-700/rng_state_0.pth +3 -0
  7. Qwen-0.5B-GRPO-Code-vllm-base/checkpoint-700/rng_state_1.pth +3 -0
  8. Qwen-0.5B-GRPO-Code-vllm-base/checkpoint-700/scheduler.pt +3 -0
  9. Qwen-0.5B-GRPO-Code-vllm-base/checkpoint-700/special_tokens_map.json +25 -0
  10. Qwen-0.5B-GRPO-Code-vllm-base/checkpoint-700/tokenizer.json +3 -0
  11. Qwen-0.5B-GRPO-Code-vllm-base/checkpoint-700/trainer_state.json +0 -0
  12. Qwen-0.5B-GRPO-Code-vllm-base/checkpoint-700/vocab.json +0 -0
  13. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-100/added_tokens.json +24 -0
  14. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-100/config.json +29 -0
  15. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-100/generation_config.json +14 -0
  16. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-100/merges.txt +0 -0
  17. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-100/rng_state_0.pth +3 -0
  18. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-100/scheduler.pt +3 -0
  19. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-100/special_tokens_map.json +25 -0
  20. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-100/tokenizer.json +3 -0
  21. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-100/tokenizer_config.json +212 -0
  22. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-100/trainer_state.json +1633 -0
  23. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-100/training_args.bin +3 -0
  24. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-100/vocab.json +0 -0
  25. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1100/optimizer.pt +3 -0
  26. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1200/model.safetensors +3 -0
  27. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1200/optimizer.pt +3 -0
  28. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1300/model.safetensors +3 -0
  29. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1300/optimizer.pt +3 -0
  30. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1600/added_tokens.json +24 -0
  31. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1600/config.json +29 -0
  32. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1600/generation_config.json +14 -0
  33. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1600/merges.txt +0 -0
  34. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1600/rng_state_0.pth +3 -0
  35. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1600/rng_state_1.pth +3 -0
  36. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1600/scheduler.pt +3 -0
  37. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1600/special_tokens_map.json +25 -0
  38. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1600/tokenizer.json +3 -0
  39. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1600/tokenizer_config.json +212 -0
  40. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1600/trainer_state.json +0 -0
  41. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1600/training_args.bin +3 -0
  42. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1600/vocab.json +0 -0
  43. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1700/model.safetensors +3 -0
  44. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1900/optimizer.pt +3 -0
  45. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-200/model.safetensors +3 -0
  46. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-2000/model.safetensors +3 -0
  47. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-2100/optimizer.pt +3 -0
  48. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-500/model.safetensors +3 -0
  49. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-500/rng_state_0.pth +3 -0
  50. Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-500/rng_state_1.pth +3 -0
.gitattributes CHANGED
@@ -59,3 +59,10 @@ Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1200/tokenizer.json filter=lfs d
59
  Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-2000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
60
  Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-200/tokenizer.json filter=lfs diff=lfs merge=lfs -text
61
  Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1700/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
59
  Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-2000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
60
  Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-200/tokenizer.json filter=lfs diff=lfs merge=lfs -text
61
  Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1700/tokenizer.json filter=lfs diff=lfs merge=lfs -text
62
+ Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
63
+ Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-900/tokenizer.json filter=lfs diff=lfs merge=lfs -text
64
+ Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-600/tokenizer.json filter=lfs diff=lfs merge=lfs -text
65
+ Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-100/tokenizer.json filter=lfs diff=lfs merge=lfs -text
66
+ Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1600/tokenizer.json filter=lfs diff=lfs merge=lfs -text
67
+ llama3b-GRPO-Code-vllm/checkpoint-200/tokenizer.json filter=lfs diff=lfs merge=lfs -text
68
+ Qwen-0.5B-GRPO-Code-vllm-base/checkpoint-700/tokenizer.json filter=lfs diff=lfs merge=lfs -text
Qwen-0.5B-GRPO-Code-vllm-base/checkpoint-700/added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
Qwen-0.5B-GRPO-Code-vllm-base/checkpoint-700/config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "Qwen/Qwen2.5-0.5B-Instruct",
3
+ "architectures": [
4
+ "Qwen2ForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151645,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 896,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 4864,
13
+ "max_position_embeddings": 32768,
14
+ "max_window_layers": 21,
15
+ "model_type": "qwen2",
16
+ "num_attention_heads": 14,
17
+ "num_hidden_layers": 24,
18
+ "num_key_value_heads": 2,
19
+ "rms_norm_eps": 1e-06,
20
+ "rope_scaling": null,
21
+ "rope_theta": 1000000.0,
22
+ "sliding_window": null,
23
+ "tie_word_embeddings": true,
24
+ "torch_dtype": "bfloat16",
25
+ "transformers_version": "4.48.2",
26
+ "use_cache": true,
27
+ "use_sliding_window": false,
28
+ "vocab_size": 151936
29
+ }
Qwen-0.5B-GRPO-Code-vllm-base/checkpoint-700/generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "repetition_penalty": 1.1,
10
+ "temperature": 0.7,
11
+ "top_k": 20,
12
+ "top_p": 0.8,
13
+ "transformers_version": "4.48.2"
14
+ }
Qwen-0.5B-GRPO-Code-vllm-base/checkpoint-700/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
Qwen-0.5B-GRPO-Code-vllm-base/checkpoint-700/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1ca74a99676c40cc90e22f342ab38a573fba6b6e0c9a26aba378c13a08ec992f
3
+ size 14448
Qwen-0.5B-GRPO-Code-vllm-base/checkpoint-700/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0f68a37892a1b445d21bb35cc10bf7a058a6f9ec8c363f5ed156ff4f49d90fb6
3
+ size 14512
Qwen-0.5B-GRPO-Code-vllm-base/checkpoint-700/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:893d4b8b1302e161f9c549f4f9074ed54107bc52757ec993a56b789ee94ddea5
3
+ size 1064
Qwen-0.5B-GRPO-Code-vllm-base/checkpoint-700/special_tokens_map.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": "<|im_end|>"
25
+ }
Qwen-0.5B-GRPO-Code-vllm-base/checkpoint-700/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:63a2951d5edfa5cc0a2346ef872f8c77a2920274cfc3b503b04e3799104dee80
3
+ size 11422060
Qwen-0.5B-GRPO-Code-vllm-base/checkpoint-700/trainer_state.json ADDED
The diff for this file is too large to render. See raw diff
 
Qwen-0.5B-GRPO-Code-vllm-base/checkpoint-700/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-100/added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-100/config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "./outputs/Qwen-0.5B-GRPO-Code-vllm-base/checkpoint-800",
3
+ "architectures": [
4
+ "Qwen2ForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151645,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 896,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 4864,
13
+ "max_position_embeddings": 32768,
14
+ "max_window_layers": 21,
15
+ "model_type": "qwen2",
16
+ "num_attention_heads": 14,
17
+ "num_hidden_layers": 24,
18
+ "num_key_value_heads": 2,
19
+ "rms_norm_eps": 1e-06,
20
+ "rope_scaling": null,
21
+ "rope_theta": 1000000.0,
22
+ "sliding_window": null,
23
+ "tie_word_embeddings": true,
24
+ "torch_dtype": "bfloat16",
25
+ "transformers_version": "4.49.0.dev0",
26
+ "use_cache": true,
27
+ "use_sliding_window": false,
28
+ "vocab_size": 151936
29
+ }
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-100/generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "repetition_penalty": 1.1,
10
+ "temperature": 0.7,
11
+ "top_k": 20,
12
+ "top_p": 0.8,
13
+ "transformers_version": "4.49.0.dev0"
14
+ }
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-100/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-100/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d4a658b8ca13664e325ac79509473bc459e83fb410b27e6f0fa00f21418667a4
3
+ size 14448
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-100/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:71d2161c9233860a0c55de4fa68dfcf16cdf4af9234c3d44fc611fcd896d1189
3
+ size 1064
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-100/special_tokens_map.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": "<|im_end|>"
25
+ }
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-100/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:63a2951d5edfa5cc0a2346ef872f8c77a2920274cfc3b503b04e3799104dee80
3
+ size 11422060
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-100/tokenizer_config.json ADDED
@@ -0,0 +1,212 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
199
+ "clean_up_tokenization_spaces": false,
200
+ "eos_token": "<|im_end|>",
201
+ "errors": "replace",
202
+ "extra_special_tokens": {},
203
+ "max_length": null,
204
+ "model_max_length": 131072,
205
+ "pad_to_multiple_of": null,
206
+ "pad_token": "<|im_end|>",
207
+ "pad_token_type_id": 0,
208
+ "padding_side": "left",
209
+ "split_special_tokens": false,
210
+ "tokenizer_class": "Qwen2Tokenizer",
211
+ "unk_token": null
212
+ }
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-100/trainer_state.json ADDED
@@ -0,0 +1,1633 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.02675943270002676,
5
+ "eval_steps": 500,
6
+ "global_step": 100,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "completion_length": 240.25,
13
+ "epoch": 0.0002675943270002676,
14
+ "grad_norm": 6.21875,
15
+ "kl": 0.0,
16
+ "learning_rate": 5.3475935828877005e-08,
17
+ "loss": -0.0,
18
+ "reward": 1.683333396911621,
19
+ "reward_std": 0.4003768861293793,
20
+ "rewards/basic_format_reward_func": 0.4166666865348816,
21
+ "rewards/code_execution_reward": 0.2916666865348816,
22
+ "rewards/code_quality_reward_func": 0.3166666626930237,
23
+ "rewards/reasoning_quality_reward_func": 0.3916667103767395,
24
+ "rewards/xml_structure_reward_func": 0.2666666805744171,
25
+ "step": 1
26
+ },
27
+ {
28
+ "completion_length": 332.3333435058594,
29
+ "epoch": 0.0005351886540005352,
30
+ "grad_norm": 4.40625,
31
+ "kl": 0.0,
32
+ "learning_rate": 1.0695187165775401e-07,
33
+ "loss": 0.0,
34
+ "reward": 1.2833563089370728,
35
+ "reward_std": 0.31695565581321716,
36
+ "rewards/basic_format_reward_func": 0.1666666716337204,
37
+ "rewards/code_execution_reward": 0.266689658164978,
38
+ "rewards/code_quality_reward_func": 0.27500003576278687,
39
+ "rewards/reasoning_quality_reward_func": 0.3916667103767395,
40
+ "rewards/xml_structure_reward_func": 0.18333333730697632,
41
+ "step": 2
42
+ },
43
+ {
44
+ "completion_length": 270.25,
45
+ "epoch": 0.0008027829810008028,
46
+ "grad_norm": 5.125,
47
+ "kl": 0.0007383245974779129,
48
+ "learning_rate": 1.6042780748663104e-07,
49
+ "loss": 0.0,
50
+ "reward": 1.6968612670898438,
51
+ "reward_std": 0.3620304465293884,
52
+ "rewards/basic_format_reward_func": 0.375,
53
+ "rewards/code_execution_reward": 0.32186126708984375,
54
+ "rewards/code_quality_reward_func": 0.34166666865348816,
55
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
56
+ "rewards/xml_structure_reward_func": 0.25833335518836975,
57
+ "step": 3
58
+ },
59
+ {
60
+ "completion_length": 324.0,
61
+ "epoch": 0.0010703773080010704,
62
+ "grad_norm": 4.3125,
63
+ "kl": 0.0006790084880776703,
64
+ "learning_rate": 2.1390374331550802e-07,
65
+ "loss": 0.0,
66
+ "reward": 1.723926305770874,
67
+ "reward_std": 0.5276123881340027,
68
+ "rewards/basic_format_reward_func": 0.375,
69
+ "rewards/code_execution_reward": 0.42392635345458984,
70
+ "rewards/code_quality_reward_func": 0.28333336114883423,
71
+ "rewards/reasoning_quality_reward_func": 0.38333338499069214,
72
+ "rewards/xml_structure_reward_func": 0.25833335518836975,
73
+ "step": 4
74
+ },
75
+ {
76
+ "completion_length": 200.0,
77
+ "epoch": 0.001337971635001338,
78
+ "grad_norm": 5.5,
79
+ "kl": 0.0009003459708765149,
80
+ "learning_rate": 2.6737967914438503e-07,
81
+ "loss": 0.0,
82
+ "reward": 1.6696914434432983,
83
+ "reward_std": 0.7859481573104858,
84
+ "rewards/basic_format_reward_func": 0.3333333432674408,
85
+ "rewards/code_execution_reward": 0.4113580584526062,
86
+ "rewards/code_quality_reward_func": 0.28333336114883423,
87
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
88
+ "rewards/xml_structure_reward_func": 0.24166667461395264,
89
+ "step": 5
90
+ },
91
+ {
92
+ "completion_length": 284.5833435058594,
93
+ "epoch": 0.0016055659620016055,
94
+ "grad_norm": 4.96875,
95
+ "kl": 0.0007309447391889989,
96
+ "learning_rate": 3.208556149732621e-07,
97
+ "loss": 0.0,
98
+ "reward": 1.6401863098144531,
99
+ "reward_std": 0.38958868384361267,
100
+ "rewards/basic_format_reward_func": 0.4166666865348816,
101
+ "rewards/code_execution_reward": 0.27351975440979004,
102
+ "rewards/code_quality_reward_func": 0.3333333432674408,
103
+ "rewards/reasoning_quality_reward_func": 0.34166666865348816,
104
+ "rewards/xml_structure_reward_func": 0.27500003576278687,
105
+ "step": 6
106
+ },
107
+ {
108
+ "completion_length": 292.16668701171875,
109
+ "epoch": 0.0018731602890018732,
110
+ "grad_norm": 6.875,
111
+ "kl": 0.0008700569160282612,
112
+ "learning_rate": 3.7433155080213904e-07,
113
+ "loss": 0.0,
114
+ "reward": 1.718916893005371,
115
+ "reward_std": 0.8036686778068542,
116
+ "rewards/basic_format_reward_func": 0.375,
117
+ "rewards/code_execution_reward": 0.4355836808681488,
118
+ "rewards/code_quality_reward_func": 0.2916666865348816,
119
+ "rewards/reasoning_quality_reward_func": 0.3583333492279053,
120
+ "rewards/xml_structure_reward_func": 0.25833335518836975,
121
+ "step": 7
122
+ },
123
+ {
124
+ "completion_length": 216.1666717529297,
125
+ "epoch": 0.0021407546160021407,
126
+ "grad_norm": 4.65625,
127
+ "kl": 0.0005313638830557466,
128
+ "learning_rate": 4.2780748663101604e-07,
129
+ "loss": 0.0,
130
+ "reward": 2.3377904891967773,
131
+ "reward_std": 1.373246192932129,
132
+ "rewards/basic_format_reward_func": 0.375,
133
+ "rewards/code_execution_reward": 1.046123743057251,
134
+ "rewards/code_quality_reward_func": 0.28333336114883423,
135
+ "rewards/reasoning_quality_reward_func": 0.36666667461395264,
136
+ "rewards/xml_structure_reward_func": 0.2666667103767395,
137
+ "step": 8
138
+ },
139
+ {
140
+ "completion_length": 291.25,
141
+ "epoch": 0.002408348943002408,
142
+ "grad_norm": 5.34375,
143
+ "kl": 0.000748022343032062,
144
+ "learning_rate": 4.812834224598931e-07,
145
+ "loss": 0.0,
146
+ "reward": 1.5542452335357666,
147
+ "reward_std": 0.6039680242538452,
148
+ "rewards/basic_format_reward_func": 0.3333333432674408,
149
+ "rewards/code_execution_reward": 0.3625785708427429,
150
+ "rewards/code_quality_reward_func": 0.23333333432674408,
151
+ "rewards/reasoning_quality_reward_func": 0.3916667103767395,
152
+ "rewards/xml_structure_reward_func": 0.23333334922790527,
153
+ "step": 9
154
+ },
155
+ {
156
+ "completion_length": 241.08334350585938,
157
+ "epoch": 0.002675943270002676,
158
+ "grad_norm": 5.46875,
159
+ "kl": 0.0007344354526139796,
160
+ "learning_rate": 5.347593582887701e-07,
161
+ "loss": 0.0,
162
+ "reward": 1.7666667699813843,
163
+ "reward_std": 0.24568384885787964,
164
+ "rewards/basic_format_reward_func": 0.4583333432674408,
165
+ "rewards/code_execution_reward": 0.32500001788139343,
166
+ "rewards/code_quality_reward_func": 0.3083333373069763,
167
+ "rewards/reasoning_quality_reward_func": 0.38333338499069214,
168
+ "rewards/xml_structure_reward_func": 0.2916666865348816,
169
+ "step": 10
170
+ },
171
+ {
172
+ "completion_length": 243.08334350585938,
173
+ "epoch": 0.0029435375970029436,
174
+ "grad_norm": 5.59375,
175
+ "kl": 0.0006488829385489225,
176
+ "learning_rate": 5.882352941176471e-07,
177
+ "loss": 0.0,
178
+ "reward": 1.9167588949203491,
179
+ "reward_std": 0.7602280378341675,
180
+ "rewards/basic_format_reward_func": 0.375,
181
+ "rewards/code_execution_reward": 0.6334255337715149,
182
+ "rewards/code_quality_reward_func": 0.25833332538604736,
183
+ "rewards/reasoning_quality_reward_func": 0.3916667103767395,
184
+ "rewards/xml_structure_reward_func": 0.25833335518836975,
185
+ "step": 11
186
+ },
187
+ {
188
+ "completion_length": 217.75,
189
+ "epoch": 0.003211131924003211,
190
+ "grad_norm": 6.59375,
191
+ "kl": 0.0010273342486470938,
192
+ "learning_rate": 6.417112299465242e-07,
193
+ "loss": 0.0,
194
+ "reward": 1.6952461004257202,
195
+ "reward_std": 0.43511244654655457,
196
+ "rewards/basic_format_reward_func": 0.4166666865348816,
197
+ "rewards/code_execution_reward": 0.3369128108024597,
198
+ "rewards/code_quality_reward_func": 0.28333336114883423,
199
+ "rewards/reasoning_quality_reward_func": 0.3916666507720947,
200
+ "rewards/xml_structure_reward_func": 0.2666667103767395,
201
+ "step": 12
202
+ },
203
+ {
204
+ "completion_length": 241.33334350585938,
205
+ "epoch": 0.0034787262510034785,
206
+ "grad_norm": 4.5625,
207
+ "kl": 0.0006450031069107354,
208
+ "learning_rate": 6.951871657754011e-07,
209
+ "loss": 0.0,
210
+ "reward": 2.3087432384490967,
211
+ "reward_std": 1.2053987979888916,
212
+ "rewards/basic_format_reward_func": 0.4583333432674408,
213
+ "rewards/code_execution_reward": 0.8837432265281677,
214
+ "rewards/code_quality_reward_func": 0.32500001788139343,
215
+ "rewards/reasoning_quality_reward_func": 0.3583333492279053,
216
+ "rewards/xml_structure_reward_func": 0.28333336114883423,
217
+ "step": 13
218
+ },
219
+ {
220
+ "completion_length": 224.25,
221
+ "epoch": 0.0037463205780037465,
222
+ "grad_norm": 5.25,
223
+ "kl": 0.0006655638571828604,
224
+ "learning_rate": 7.486631016042781e-07,
225
+ "loss": 0.0,
226
+ "reward": 2.016702890396118,
227
+ "reward_std": 0.8577584624290466,
228
+ "rewards/basic_format_reward_func": 0.375,
229
+ "rewards/code_execution_reward": 0.7167028188705444,
230
+ "rewards/code_quality_reward_func": 0.30000001192092896,
231
+ "rewards/reasoning_quality_reward_func": 0.36666667461395264,
232
+ "rewards/xml_structure_reward_func": 0.25833335518836975,
233
+ "step": 14
234
+ },
235
+ {
236
+ "completion_length": 278.91668701171875,
237
+ "epoch": 0.004013914905004014,
238
+ "grad_norm": 6.1875,
239
+ "kl": 0.0008740181219764054,
240
+ "learning_rate": 8.021390374331551e-07,
241
+ "loss": 0.0,
242
+ "reward": 1.3916771411895752,
243
+ "reward_std": 0.5112754106521606,
244
+ "rewards/basic_format_reward_func": 0.2916666865348816,
245
+ "rewards/code_execution_reward": 0.24167709052562714,
246
+ "rewards/code_quality_reward_func": 0.23333334922790527,
247
+ "rewards/reasoning_quality_reward_func": 0.3916667103767395,
248
+ "rewards/xml_structure_reward_func": 0.23333333432674408,
249
+ "step": 15
250
+ },
251
+ {
252
+ "completion_length": 223.5,
253
+ "epoch": 0.004281509232004281,
254
+ "grad_norm": 5.5625,
255
+ "kl": 0.0007978550856932998,
256
+ "learning_rate": 8.556149732620321e-07,
257
+ "loss": 0.0,
258
+ "reward": 1.9002037048339844,
259
+ "reward_std": 0.6648212671279907,
260
+ "rewards/basic_format_reward_func": 0.4166666865348816,
261
+ "rewards/code_execution_reward": 0.5418704152107239,
262
+ "rewards/code_quality_reward_func": 0.28333336114883423,
263
+ "rewards/reasoning_quality_reward_func": 0.3916666507720947,
264
+ "rewards/xml_structure_reward_func": 0.2666667103767395,
265
+ "step": 16
266
+ },
267
+ {
268
+ "completion_length": 326.41668701171875,
269
+ "epoch": 0.004549103559004549,
270
+ "grad_norm": 4.375,
271
+ "kl": 0.0007469221018254757,
272
+ "learning_rate": 9.090909090909091e-07,
273
+ "loss": 0.0,
274
+ "reward": 1.2916667461395264,
275
+ "reward_std": 0.49194058775901794,
276
+ "rewards/basic_format_reward_func": 0.2083333432674408,
277
+ "rewards/code_execution_reward": 0.25833332538604736,
278
+ "rewards/code_quality_reward_func": 0.22500000894069672,
279
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
280
+ "rewards/xml_structure_reward_func": 0.20000001788139343,
281
+ "step": 17
282
+ },
283
+ {
284
+ "completion_length": 246.5,
285
+ "epoch": 0.004816697886004816,
286
+ "grad_norm": 6.46875,
287
+ "kl": 0.0007637516828253865,
288
+ "learning_rate": 9.625668449197862e-07,
289
+ "loss": 0.0,
290
+ "reward": 1.6097962856292725,
291
+ "reward_std": 0.5806087255477905,
292
+ "rewards/basic_format_reward_func": 0.3333333432674408,
293
+ "rewards/code_execution_reward": 0.3681294620037079,
294
+ "rewards/code_quality_reward_func": 0.2666666805744171,
295
+ "rewards/reasoning_quality_reward_func": 0.3916667103767395,
296
+ "rewards/xml_structure_reward_func": 0.25,
297
+ "step": 18
298
+ },
299
+ {
300
+ "completion_length": 225.6666717529297,
301
+ "epoch": 0.005084292213005084,
302
+ "grad_norm": 6.15625,
303
+ "kl": 0.0007218674290925264,
304
+ "learning_rate": 1.0160427807486633e-06,
305
+ "loss": 0.0,
306
+ "reward": 1.367079734802246,
307
+ "reward_std": 0.3885188698768616,
308
+ "rewards/basic_format_reward_func": 0.2083333432674408,
309
+ "rewards/code_execution_reward": 0.24207979440689087,
310
+ "rewards/code_quality_reward_func": 0.32499998807907104,
311
+ "rewards/reasoning_quality_reward_func": 0.3916667103767395,
312
+ "rewards/xml_structure_reward_func": 0.20000001788139343,
313
+ "step": 19
314
+ },
315
+ {
316
+ "completion_length": 283.66668701171875,
317
+ "epoch": 0.005351886540005352,
318
+ "grad_norm": 4.90625,
319
+ "kl": 0.0008003411930985749,
320
+ "learning_rate": 1.0695187165775401e-06,
321
+ "loss": 0.0,
322
+ "reward": 1.5653541088104248,
323
+ "reward_std": 0.4483262300491333,
324
+ "rewards/basic_format_reward_func": 0.3333333432674408,
325
+ "rewards/code_execution_reward": 0.323687344789505,
326
+ "rewards/code_quality_reward_func": 0.28333336114883423,
327
+ "rewards/reasoning_quality_reward_func": 0.38333338499069214,
328
+ "rewards/xml_structure_reward_func": 0.24166667461395264,
329
+ "step": 20
330
+ },
331
+ {
332
+ "completion_length": 268.41668701171875,
333
+ "epoch": 0.00561948086700562,
334
+ "grad_norm": 4.5625,
335
+ "kl": 0.0007850835099816322,
336
+ "learning_rate": 1.1229946524064172e-06,
337
+ "loss": 0.0,
338
+ "reward": 1.8270270824432373,
339
+ "reward_std": 0.7158061861991882,
340
+ "rewards/basic_format_reward_func": 0.375,
341
+ "rewards/code_execution_reward": 0.5186935663223267,
342
+ "rewards/code_quality_reward_func": 0.2916666865348816,
343
+ "rewards/reasoning_quality_reward_func": 0.38333338499069214,
344
+ "rewards/xml_structure_reward_func": 0.25833335518836975,
345
+ "step": 21
346
+ },
347
+ {
348
+ "completion_length": 247.58334350585938,
349
+ "epoch": 0.005887075194005887,
350
+ "grad_norm": 7.3125,
351
+ "kl": 0.0008080464322119951,
352
+ "learning_rate": 1.1764705882352942e-06,
353
+ "loss": 0.0,
354
+ "reward": 1.5754141807556152,
355
+ "reward_std": 0.32768064737319946,
356
+ "rewards/basic_format_reward_func": 0.4166666865348816,
357
+ "rewards/code_execution_reward": 0.17541414499282837,
358
+ "rewards/code_quality_reward_func": 0.3499999940395355,
359
+ "rewards/reasoning_quality_reward_func": 0.3499999940395355,
360
+ "rewards/xml_structure_reward_func": 0.28333336114883423,
361
+ "step": 22
362
+ },
363
+ {
364
+ "completion_length": 252.08334350585938,
365
+ "epoch": 0.006154669521006155,
366
+ "grad_norm": 6.53125,
367
+ "kl": 0.0009499495499767363,
368
+ "learning_rate": 1.2299465240641713e-06,
369
+ "loss": 0.0,
370
+ "reward": 1.2697193622589111,
371
+ "reward_std": 0.40648603439331055,
372
+ "rewards/basic_format_reward_func": 0.25,
373
+ "rewards/code_execution_reward": 0.1780526041984558,
374
+ "rewards/code_quality_reward_func": 0.27500003576278687,
375
+ "rewards/reasoning_quality_reward_func": 0.3583333492279053,
376
+ "rewards/xml_structure_reward_func": 0.2083333432674408,
377
+ "step": 23
378
+ },
379
+ {
380
+ "completion_length": 280.5,
381
+ "epoch": 0.006422263848006422,
382
+ "grad_norm": 4.8125,
383
+ "kl": 0.00072054925840348,
384
+ "learning_rate": 1.2834224598930483e-06,
385
+ "loss": 0.0,
386
+ "reward": 1.7976078987121582,
387
+ "reward_std": 0.40162503719329834,
388
+ "rewards/basic_format_reward_func": 0.4583333432674408,
389
+ "rewards/code_execution_reward": 0.3309413194656372,
390
+ "rewards/code_quality_reward_func": 0.3333333432674408,
391
+ "rewards/reasoning_quality_reward_func": 0.3916667103767395,
392
+ "rewards/xml_structure_reward_func": 0.28333336114883423,
393
+ "step": 24
394
+ },
395
+ {
396
+ "completion_length": 187.4166717529297,
397
+ "epoch": 0.00668985817500669,
398
+ "grad_norm": 6.71875,
399
+ "kl": 0.001055043889209628,
400
+ "learning_rate": 1.3368983957219254e-06,
401
+ "loss": 0.0,
402
+ "reward": 1.9250602722167969,
403
+ "reward_std": 0.7650420069694519,
404
+ "rewards/basic_format_reward_func": 0.3333333432674408,
405
+ "rewards/code_execution_reward": 0.6500604748725891,
406
+ "rewards/code_quality_reward_func": 0.34166666865348816,
407
+ "rewards/reasoning_quality_reward_func": 0.3499999940395355,
408
+ "rewards/xml_structure_reward_func": 0.2500000298023224,
409
+ "step": 25
410
+ },
411
+ {
412
+ "completion_length": 223.1666717529297,
413
+ "epoch": 0.006957452502006957,
414
+ "grad_norm": 5.8125,
415
+ "kl": 0.0008547938195988536,
416
+ "learning_rate": 1.3903743315508022e-06,
417
+ "loss": 0.0,
418
+ "reward": 1.5859073400497437,
419
+ "reward_std": 0.8232795596122742,
420
+ "rewards/basic_format_reward_func": 0.2916666865348816,
421
+ "rewards/code_execution_reward": 0.38590726256370544,
422
+ "rewards/code_quality_reward_func": 0.2916666865348816,
423
+ "rewards/reasoning_quality_reward_func": 0.38333338499069214,
424
+ "rewards/xml_structure_reward_func": 0.23333333432674408,
425
+ "step": 26
426
+ },
427
+ {
428
+ "completion_length": 251.58334350585938,
429
+ "epoch": 0.0072250468290072254,
430
+ "grad_norm": 5.03125,
431
+ "kl": 0.0007728833588771522,
432
+ "learning_rate": 1.4438502673796793e-06,
433
+ "loss": 0.0,
434
+ "reward": 1.491668701171875,
435
+ "reward_std": 0.44286617636680603,
436
+ "rewards/basic_format_reward_func": 0.375,
437
+ "rewards/code_execution_reward": 0.19166871905326843,
438
+ "rewards/code_quality_reward_func": 0.27500003576278687,
439
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
440
+ "rewards/xml_structure_reward_func": 0.2500000298023224,
441
+ "step": 27
442
+ },
443
+ {
444
+ "completion_length": 372.0,
445
+ "epoch": 0.007492641156007493,
446
+ "grad_norm": 4.6875,
447
+ "kl": 0.001101998845115304,
448
+ "learning_rate": 1.4973262032085562e-06,
449
+ "loss": 0.0,
450
+ "reward": 1.5583410263061523,
451
+ "reward_std": 0.4496191442012787,
452
+ "rewards/basic_format_reward_func": 0.375,
453
+ "rewards/code_execution_reward": 0.23334108293056488,
454
+ "rewards/code_quality_reward_func": 0.3083333373069763,
455
+ "rewards/reasoning_quality_reward_func": 0.3916667103767395,
456
+ "rewards/xml_structure_reward_func": 0.2500000298023224,
457
+ "step": 28
458
+ },
459
+ {
460
+ "completion_length": 297.75,
461
+ "epoch": 0.00776023548300776,
462
+ "grad_norm": 4.46875,
463
+ "kl": 0.0007874669972807169,
464
+ "learning_rate": 1.5508021390374334e-06,
465
+ "loss": 0.0,
466
+ "reward": 1.6197443008422852,
467
+ "reward_std": 0.2738063931465149,
468
+ "rewards/basic_format_reward_func": 0.4166666865348816,
469
+ "rewards/code_execution_reward": 0.1864110678434372,
470
+ "rewards/code_quality_reward_func": 0.3583333492279053,
471
+ "rewards/reasoning_quality_reward_func": 0.38333338499069214,
472
+ "rewards/xml_structure_reward_func": 0.27500003576278687,
473
+ "step": 29
474
+ },
475
+ {
476
+ "completion_length": 321.75,
477
+ "epoch": 0.008027829810008028,
478
+ "grad_norm": 4.1875,
479
+ "kl": 0.0007515697507187724,
480
+ "learning_rate": 1.6042780748663103e-06,
481
+ "loss": 0.0,
482
+ "reward": 1.5833333730697632,
483
+ "reward_std": 0.37617573142051697,
484
+ "rewards/basic_format_reward_func": 0.4166666865348816,
485
+ "rewards/code_execution_reward": 0.22499999403953552,
486
+ "rewards/code_quality_reward_func": 0.2666666805744171,
487
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
488
+ "rewards/xml_structure_reward_func": 0.27500003576278687,
489
+ "step": 30
490
+ },
491
+ {
492
+ "completion_length": 251.58334350585938,
493
+ "epoch": 0.008295424137008296,
494
+ "grad_norm": 6.5,
495
+ "kl": 0.0012028946075588465,
496
+ "learning_rate": 1.6577540106951873e-06,
497
+ "loss": 0.0,
498
+ "reward": 1.6526631116867065,
499
+ "reward_std": 0.5531408786773682,
500
+ "rewards/basic_format_reward_func": 0.3333333432674408,
501
+ "rewards/code_execution_reward": 0.3693297803401947,
502
+ "rewards/code_quality_reward_func": 0.34166669845581055,
503
+ "rewards/reasoning_quality_reward_func": 0.3500000238418579,
504
+ "rewards/xml_structure_reward_func": 0.25833335518836975,
505
+ "step": 31
506
+ },
507
+ {
508
+ "completion_length": 303.91668701171875,
509
+ "epoch": 0.008563018464008563,
510
+ "grad_norm": 4.46875,
511
+ "kl": 0.0007428948301821947,
512
+ "learning_rate": 1.7112299465240642e-06,
513
+ "loss": 0.0,
514
+ "reward": 1.7810885906219482,
515
+ "reward_std": 0.43417853116989136,
516
+ "rewards/basic_format_reward_func": 0.4583333432674408,
517
+ "rewards/code_execution_reward": 0.3227551579475403,
518
+ "rewards/code_quality_reward_func": 0.32499998807907104,
519
+ "rewards/reasoning_quality_reward_func": 0.3916667103767395,
520
+ "rewards/xml_structure_reward_func": 0.28333336114883423,
521
+ "step": 32
522
+ },
523
+ {
524
+ "completion_length": 294.16668701171875,
525
+ "epoch": 0.008830612791008831,
526
+ "grad_norm": 4.5625,
527
+ "kl": 0.0007438965840265155,
528
+ "learning_rate": 1.7647058823529414e-06,
529
+ "loss": 0.0,
530
+ "reward": 1.663476824760437,
531
+ "reward_std": 0.34124574065208435,
532
+ "rewards/basic_format_reward_func": 0.4583333432674408,
533
+ "rewards/code_execution_reward": 0.21347686648368835,
534
+ "rewards/code_quality_reward_func": 0.3083333373069763,
535
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
536
+ "rewards/xml_structure_reward_func": 0.28333336114883423,
537
+ "step": 33
538
+ },
539
+ {
540
+ "completion_length": 246.33334350585938,
541
+ "epoch": 0.009098207118009098,
542
+ "grad_norm": 5.3125,
543
+ "kl": 0.0010945609537884593,
544
+ "learning_rate": 1.8181818181818183e-06,
545
+ "loss": 0.0,
546
+ "reward": 1.6503428220748901,
547
+ "reward_std": 0.3762083053588867,
548
+ "rewards/basic_format_reward_func": 0.4166666865348816,
549
+ "rewards/code_execution_reward": 0.2920094132423401,
550
+ "rewards/code_quality_reward_func": 0.2750000059604645,
551
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
552
+ "rewards/xml_structure_reward_func": 0.2666667103767395,
553
+ "step": 34
554
+ },
555
+ {
556
+ "completion_length": 242.0,
557
+ "epoch": 0.009365801445009366,
558
+ "grad_norm": 5.15625,
559
+ "kl": 0.0007896397146396339,
560
+ "learning_rate": 1.8716577540106954e-06,
561
+ "loss": 0.0,
562
+ "reward": 1.6047223806381226,
563
+ "reward_std": 0.5125775337219238,
564
+ "rewards/basic_format_reward_func": 0.3333333432674408,
565
+ "rewards/code_execution_reward": 0.3463890254497528,
566
+ "rewards/code_quality_reward_func": 0.30000001192092896,
567
+ "rewards/reasoning_quality_reward_func": 0.36666667461395264,
568
+ "rewards/xml_structure_reward_func": 0.25833335518836975,
569
+ "step": 35
570
+ },
571
+ {
572
+ "completion_length": 309.25,
573
+ "epoch": 0.009633395772009633,
574
+ "grad_norm": 4.1875,
575
+ "kl": 0.0007134590996429324,
576
+ "learning_rate": 1.9251336898395724e-06,
577
+ "loss": 0.0,
578
+ "reward": 1.787470817565918,
579
+ "reward_std": 0.6907145380973816,
580
+ "rewards/basic_format_reward_func": 0.375,
581
+ "rewards/code_execution_reward": 0.43747079372406006,
582
+ "rewards/code_quality_reward_func": 0.32500001788139343,
583
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
584
+ "rewards/xml_structure_reward_func": 0.2500000298023224,
585
+ "step": 36
586
+ },
587
+ {
588
+ "completion_length": 224.25,
589
+ "epoch": 0.009900990099009901,
590
+ "grad_norm": 5.96875,
591
+ "kl": 0.000888791517354548,
592
+ "learning_rate": 1.9786096256684497e-06,
593
+ "loss": 0.0,
594
+ "reward": 1.5097030401229858,
595
+ "reward_std": 0.4457584023475647,
596
+ "rewards/basic_format_reward_func": 0.3333333432674408,
597
+ "rewards/code_execution_reward": 0.2513695955276489,
598
+ "rewards/code_quality_reward_func": 0.2916666865348816,
599
+ "rewards/reasoning_quality_reward_func": 0.38333338499069214,
600
+ "rewards/xml_structure_reward_func": 0.2500000298023224,
601
+ "step": 37
602
+ },
603
+ {
604
+ "completion_length": 264.66668701171875,
605
+ "epoch": 0.010168584426010168,
606
+ "grad_norm": 4.125,
607
+ "kl": 0.0007836823933757842,
608
+ "learning_rate": 2.0320855614973265e-06,
609
+ "loss": 0.0,
610
+ "reward": 2.681027889251709,
611
+ "reward_std": 0.7436959147453308,
612
+ "rewards/basic_format_reward_func": 0.5,
613
+ "rewards/code_execution_reward": 1.139361023902893,
614
+ "rewards/code_quality_reward_func": 0.3500000238418579,
615
+ "rewards/reasoning_quality_reward_func": 0.3916667103767395,
616
+ "rewards/xml_structure_reward_func": 0.30000001192092896,
617
+ "step": 38
618
+ },
619
+ {
620
+ "completion_length": 251.9166717529297,
621
+ "epoch": 0.010436178753010436,
622
+ "grad_norm": 6.1875,
623
+ "kl": 0.001101348432712257,
624
+ "learning_rate": 2.0855614973262034e-06,
625
+ "loss": 0.0,
626
+ "reward": 2.066322088241577,
627
+ "reward_std": 0.6089464426040649,
628
+ "rewards/basic_format_reward_func": 0.4583333432674408,
629
+ "rewards/code_execution_reward": 0.6413220167160034,
630
+ "rewards/code_quality_reward_func": 0.3083333671092987,
631
+ "rewards/reasoning_quality_reward_func": 0.3666667342185974,
632
+ "rewards/xml_structure_reward_func": 0.2916666865348816,
633
+ "step": 39
634
+ },
635
+ {
636
+ "completion_length": 254.5,
637
+ "epoch": 0.010703773080010704,
638
+ "grad_norm": 5.28125,
639
+ "kl": 0.001115662045776844,
640
+ "learning_rate": 2.1390374331550802e-06,
641
+ "loss": 0.0,
642
+ "reward": 1.8096225261688232,
643
+ "reward_std": 0.2221776843070984,
644
+ "rewards/basic_format_reward_func": 0.4166666865348816,
645
+ "rewards/code_execution_reward": 0.4096224308013916,
646
+ "rewards/code_quality_reward_func": 0.32500001788139343,
647
+ "rewards/reasoning_quality_reward_func": 0.38333338499069214,
648
+ "rewards/xml_structure_reward_func": 0.27500003576278687,
649
+ "step": 40
650
+ },
651
+ {
652
+ "completion_length": 217.75,
653
+ "epoch": 0.010971367407010971,
654
+ "grad_norm": 5.0,
655
+ "kl": 0.0014358344487845898,
656
+ "learning_rate": 2.1925133689839575e-06,
657
+ "loss": 0.0,
658
+ "reward": 2.3336026668548584,
659
+ "reward_std": 1.1396851539611816,
660
+ "rewards/basic_format_reward_func": 0.375,
661
+ "rewards/code_execution_reward": 1.008602499961853,
662
+ "rewards/code_quality_reward_func": 0.2916666865348816,
663
+ "rewards/reasoning_quality_reward_func": 0.38333338499069214,
664
+ "rewards/xml_structure_reward_func": 0.27500003576278687,
665
+ "step": 41
666
+ },
667
+ {
668
+ "completion_length": 203.83334350585938,
669
+ "epoch": 0.01123896173401124,
670
+ "grad_norm": 6.6875,
671
+ "kl": 0.0014540926786139607,
672
+ "learning_rate": 2.2459893048128343e-06,
673
+ "loss": 0.0,
674
+ "reward": 1.6667674779891968,
675
+ "reward_std": 0.40645909309387207,
676
+ "rewards/basic_format_reward_func": 0.2916666865348816,
677
+ "rewards/code_execution_reward": 0.4167674481868744,
678
+ "rewards/code_quality_reward_func": 0.3333333432674408,
679
+ "rewards/reasoning_quality_reward_func": 0.38333338499069214,
680
+ "rewards/xml_structure_reward_func": 0.24166667461395264,
681
+ "step": 42
682
+ },
683
+ {
684
+ "completion_length": 246.08334350585938,
685
+ "epoch": 0.011506556061011506,
686
+ "grad_norm": 6.0625,
687
+ "kl": 0.0013111111475154757,
688
+ "learning_rate": 2.2994652406417116e-06,
689
+ "loss": 0.0,
690
+ "reward": 1.6583411693572998,
691
+ "reward_std": 0.8617290258407593,
692
+ "rewards/basic_format_reward_func": 0.2916666865348816,
693
+ "rewards/code_execution_reward": 0.44167447090148926,
694
+ "rewards/code_quality_reward_func": 0.32500001788139343,
695
+ "rewards/reasoning_quality_reward_func": 0.36666667461395264,
696
+ "rewards/xml_structure_reward_func": 0.23333334922790527,
697
+ "step": 43
698
+ },
699
+ {
700
+ "completion_length": 267.5833435058594,
701
+ "epoch": 0.011774150388011774,
702
+ "grad_norm": 5.53125,
703
+ "kl": 0.00108270940836519,
704
+ "learning_rate": 2.3529411764705885e-06,
705
+ "loss": 0.0,
706
+ "reward": 1.7920515537261963,
707
+ "reward_std": 0.5655256509780884,
708
+ "rewards/basic_format_reward_func": 0.3333333432674408,
709
+ "rewards/code_execution_reward": 0.46705159544944763,
710
+ "rewards/code_quality_reward_func": 0.38333338499069214,
711
+ "rewards/reasoning_quality_reward_func": 0.375,
712
+ "rewards/xml_structure_reward_func": 0.23333333432674408,
713
+ "step": 44
714
+ },
715
+ {
716
+ "completion_length": 259.8333435058594,
717
+ "epoch": 0.012041744715012041,
718
+ "grad_norm": 5.46875,
719
+ "kl": 0.0007468253606930375,
720
+ "learning_rate": 2.4064171122994653e-06,
721
+ "loss": 0.0,
722
+ "reward": 1.5811223983764648,
723
+ "reward_std": 0.5154642462730408,
724
+ "rewards/basic_format_reward_func": 0.3333333432674408,
725
+ "rewards/code_execution_reward": 0.3477890193462372,
726
+ "rewards/code_quality_reward_func": 0.2916666865348816,
727
+ "rewards/reasoning_quality_reward_func": 0.36666667461395264,
728
+ "rewards/xml_structure_reward_func": 0.24166667461395264,
729
+ "step": 45
730
+ },
731
+ {
732
+ "completion_length": 322.3333435058594,
733
+ "epoch": 0.01230933904201231,
734
+ "grad_norm": 4.53125,
735
+ "kl": 0.0008717922028154135,
736
+ "learning_rate": 2.4598930481283426e-06,
737
+ "loss": 0.0,
738
+ "reward": 1.7504132986068726,
739
+ "reward_std": 0.7635027766227722,
740
+ "rewards/basic_format_reward_func": 0.375,
741
+ "rewards/code_execution_reward": 0.4837464690208435,
742
+ "rewards/code_quality_reward_func": 0.27500003576278687,
743
+ "rewards/reasoning_quality_reward_func": 0.36666667461395264,
744
+ "rewards/xml_structure_reward_func": 0.2500000298023224,
745
+ "step": 46
746
+ },
747
+ {
748
+ "completion_length": 261.5,
749
+ "epoch": 0.012576933369012578,
750
+ "grad_norm": 5.25,
751
+ "kl": 0.0009470974327996373,
752
+ "learning_rate": 2.5133689839572194e-06,
753
+ "loss": 0.0,
754
+ "reward": 1.817216396331787,
755
+ "reward_std": 0.6923457980155945,
756
+ "rewards/basic_format_reward_func": 0.4166666865348816,
757
+ "rewards/code_execution_reward": 0.4338831305503845,
758
+ "rewards/code_quality_reward_func": 0.3083333373069763,
759
+ "rewards/reasoning_quality_reward_func": 0.38333338499069214,
760
+ "rewards/xml_structure_reward_func": 0.27500003576278687,
761
+ "step": 47
762
+ },
763
+ {
764
+ "completion_length": 285.0833435058594,
765
+ "epoch": 0.012844527696012844,
766
+ "grad_norm": 4.71875,
767
+ "kl": 0.0011376328766345978,
768
+ "learning_rate": 2.5668449197860967e-06,
769
+ "loss": 0.0,
770
+ "reward": 1.4470218420028687,
771
+ "reward_std": 0.49360841512680054,
772
+ "rewards/basic_format_reward_func": 0.25,
773
+ "rewards/code_execution_reward": 0.30535510182380676,
774
+ "rewards/code_quality_reward_func": 0.27500003576278687,
775
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
776
+ "rewards/xml_structure_reward_func": 0.21666666865348816,
777
+ "step": 48
778
+ },
779
+ {
780
+ "completion_length": 282.75,
781
+ "epoch": 0.013112122023013113,
782
+ "grad_norm": 7.4375,
783
+ "kl": 0.0007720650173723698,
784
+ "learning_rate": 2.6203208556149735e-06,
785
+ "loss": 0.0,
786
+ "reward": 1.6602933406829834,
787
+ "reward_std": 0.4326972961425781,
788
+ "rewards/basic_format_reward_func": 0.375,
789
+ "rewards/code_execution_reward": 0.3436264991760254,
790
+ "rewards/code_quality_reward_func": 0.3083333671092987,
791
+ "rewards/reasoning_quality_reward_func": 0.38333338499069214,
792
+ "rewards/xml_structure_reward_func": 0.25,
793
+ "step": 49
794
+ },
795
+ {
796
+ "completion_length": 258.5833435058594,
797
+ "epoch": 0.01337971635001338,
798
+ "grad_norm": 4.96875,
799
+ "kl": 0.0010720042046159506,
800
+ "learning_rate": 2.673796791443851e-06,
801
+ "loss": 0.0,
802
+ "reward": 1.5806025266647339,
803
+ "reward_std": 0.44038090109825134,
804
+ "rewards/basic_format_reward_func": 0.375,
805
+ "rewards/code_execution_reward": 0.29726916551589966,
806
+ "rewards/code_quality_reward_func": 0.23333334922790527,
807
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
808
+ "rewards/xml_structure_reward_func": 0.2750000059604645,
809
+ "step": 50
810
+ },
811
+ {
812
+ "completion_length": 299.5,
813
+ "epoch": 0.013647310677013648,
814
+ "grad_norm": 4.84375,
815
+ "kl": 0.0012970238458365202,
816
+ "learning_rate": 2.7272727272727272e-06,
817
+ "loss": 0.0,
818
+ "reward": 2.1270318031311035,
819
+ "reward_std": 0.6962482929229736,
820
+ "rewards/basic_format_reward_func": 0.4166666865348816,
821
+ "rewards/code_execution_reward": 0.7186983823776245,
822
+ "rewards/code_quality_reward_func": 0.32499998807907104,
823
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
824
+ "rewards/xml_structure_reward_func": 0.2666666805744171,
825
+ "step": 51
826
+ },
827
+ {
828
+ "completion_length": 331.16668701171875,
829
+ "epoch": 0.013914905004013914,
830
+ "grad_norm": 3.578125,
831
+ "kl": 0.0008269142708741128,
832
+ "learning_rate": 2.7807486631016045e-06,
833
+ "loss": 0.0,
834
+ "reward": 1.9148128032684326,
835
+ "reward_std": 1.0099449157714844,
836
+ "rewards/basic_format_reward_func": 0.375,
837
+ "rewards/code_execution_reward": 0.5898126363754272,
838
+ "rewards/code_quality_reward_func": 0.30000001192092896,
839
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
840
+ "rewards/xml_structure_reward_func": 0.2500000298023224,
841
+ "step": 52
842
+ },
843
+ {
844
+ "completion_length": 253.25,
845
+ "epoch": 0.014182499331014183,
846
+ "grad_norm": 5.0625,
847
+ "kl": 0.001110364100895822,
848
+ "learning_rate": 2.8342245989304818e-06,
849
+ "loss": 0.0,
850
+ "reward": 1.8336787223815918,
851
+ "reward_std": 0.3221331238746643,
852
+ "rewards/basic_format_reward_func": 0.4583333432674408,
853
+ "rewards/code_execution_reward": 0.3503453731536865,
854
+ "rewards/code_quality_reward_func": 0.3333333432674408,
855
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
856
+ "rewards/xml_structure_reward_func": 0.2916666865348816,
857
+ "step": 53
858
+ },
859
+ {
860
+ "completion_length": 300.3333435058594,
861
+ "epoch": 0.014450093658014451,
862
+ "grad_norm": 5.0625,
863
+ "kl": 0.0013840228784829378,
864
+ "learning_rate": 2.8877005347593586e-06,
865
+ "loss": 0.0,
866
+ "reward": 1.5333333015441895,
867
+ "reward_std": 0.46698129177093506,
868
+ "rewards/basic_format_reward_func": 0.3333333432674408,
869
+ "rewards/code_execution_reward": 0.24166671931743622,
870
+ "rewards/code_quality_reward_func": 0.31666669249534607,
871
+ "rewards/reasoning_quality_reward_func": 0.3916667103767395,
872
+ "rewards/xml_structure_reward_func": 0.2500000298023224,
873
+ "step": 54
874
+ },
875
+ {
876
+ "completion_length": 267.8333435058594,
877
+ "epoch": 0.014717687985014717,
878
+ "grad_norm": 4.5625,
879
+ "kl": 0.0013650886248797178,
880
+ "learning_rate": 2.9411764705882355e-06,
881
+ "loss": 0.0,
882
+ "reward": 2.046318531036377,
883
+ "reward_std": 0.31367409229278564,
884
+ "rewards/basic_format_reward_func": 0.4583333432674408,
885
+ "rewards/code_execution_reward": 0.5546518564224243,
886
+ "rewards/code_quality_reward_func": 0.3499999940395355,
887
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
888
+ "rewards/xml_structure_reward_func": 0.28333336114883423,
889
+ "step": 55
890
+ },
891
+ {
892
+ "completion_length": 323.0,
893
+ "epoch": 0.014985282312014986,
894
+ "grad_norm": 4.5625,
895
+ "kl": 0.0014160439604893327,
896
+ "learning_rate": 2.9946524064171123e-06,
897
+ "loss": 0.0,
898
+ "reward": 2.1313090324401855,
899
+ "reward_std": 0.5010348558425903,
900
+ "rewards/basic_format_reward_func": 0.5,
901
+ "rewards/code_execution_reward": 0.5813089609146118,
902
+ "rewards/code_quality_reward_func": 0.3499999940395355,
903
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
904
+ "rewards/xml_structure_reward_func": 0.30000001192092896,
905
+ "step": 56
906
+ },
907
+ {
908
+ "completion_length": 264.5,
909
+ "epoch": 0.015252876639015252,
910
+ "grad_norm": 4.21875,
911
+ "kl": 0.0008944954606704414,
912
+ "learning_rate": 3.0481283422459896e-06,
913
+ "loss": 0.0,
914
+ "reward": 1.4083333015441895,
915
+ "reward_std": 0.21618162095546722,
916
+ "rewards/basic_format_reward_func": 0.375,
917
+ "rewards/code_execution_reward": 0.05000000447034836,
918
+ "rewards/code_quality_reward_func": 0.32499998807907104,
919
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
920
+ "rewards/xml_structure_reward_func": 0.25833335518836975,
921
+ "step": 57
922
+ },
923
+ {
924
+ "completion_length": 301.3333435058594,
925
+ "epoch": 0.01552047096601552,
926
+ "grad_norm": 5.09375,
927
+ "kl": 0.0016529497224837542,
928
+ "learning_rate": 3.101604278074867e-06,
929
+ "loss": 0.0,
930
+ "reward": 1.6092885732650757,
931
+ "reward_std": 0.49159228801727295,
932
+ "rewards/basic_format_reward_func": 0.3333333432674408,
933
+ "rewards/code_execution_reward": 0.35928845405578613,
934
+ "rewards/code_quality_reward_func": 0.3083333671092987,
935
+ "rewards/reasoning_quality_reward_func": 0.36666667461395264,
936
+ "rewards/xml_structure_reward_func": 0.24166667461395264,
937
+ "step": 58
938
+ },
939
+ {
940
+ "completion_length": 236.83334350585938,
941
+ "epoch": 0.01578806529301579,
942
+ "grad_norm": 5.6875,
943
+ "kl": 0.0012853683438152075,
944
+ "learning_rate": 3.1550802139037433e-06,
945
+ "loss": 0.0,
946
+ "reward": 1.714489221572876,
947
+ "reward_std": 0.7896954417228699,
948
+ "rewards/basic_format_reward_func": 0.4166666865348816,
949
+ "rewards/code_execution_reward": 0.40615588426589966,
950
+ "rewards/code_quality_reward_func": 0.2666666805744171,
951
+ "rewards/reasoning_quality_reward_func": 0.36666667461395264,
952
+ "rewards/xml_structure_reward_func": 0.25833335518836975,
953
+ "step": 59
954
+ },
955
+ {
956
+ "completion_length": 285.5833435058594,
957
+ "epoch": 0.016055659620016056,
958
+ "grad_norm": 5.0,
959
+ "kl": 0.0012975976569578052,
960
+ "learning_rate": 3.2085561497326205e-06,
961
+ "loss": 0.0,
962
+ "reward": 2.677506923675537,
963
+ "reward_std": 0.8623813390731812,
964
+ "rewards/basic_format_reward_func": 0.4583333432674408,
965
+ "rewards/code_execution_reward": 1.244173526763916,
966
+ "rewards/code_quality_reward_func": 0.30000001192092896,
967
+ "rewards/reasoning_quality_reward_func": 0.3916667103767395,
968
+ "rewards/xml_structure_reward_func": 0.28333336114883423,
969
+ "step": 60
970
+ },
971
+ {
972
+ "completion_length": 298.5833435058594,
973
+ "epoch": 0.016323253947016322,
974
+ "grad_norm": 4.5625,
975
+ "kl": 0.0014258928131312132,
976
+ "learning_rate": 3.262032085561498e-06,
977
+ "loss": 0.0,
978
+ "reward": 1.9583333730697632,
979
+ "reward_std": 0.6213881969451904,
980
+ "rewards/basic_format_reward_func": 0.4166666865348816,
981
+ "rewards/code_execution_reward": 0.5333333015441895,
982
+ "rewards/code_quality_reward_func": 0.32500001788139343,
983
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
984
+ "rewards/xml_structure_reward_func": 0.28333336114883423,
985
+ "step": 61
986
+ },
987
+ {
988
+ "completion_length": 360.25,
989
+ "epoch": 0.016590848274016592,
990
+ "grad_norm": 4.0,
991
+ "kl": 0.0012111273827031255,
992
+ "learning_rate": 3.3155080213903747e-06,
993
+ "loss": 0.0,
994
+ "reward": 1.8708466291427612,
995
+ "reward_std": 0.27652737498283386,
996
+ "rewards/basic_format_reward_func": 0.4583333432674408,
997
+ "rewards/code_execution_reward": 0.3958466947078705,
998
+ "rewards/code_quality_reward_func": 0.3583333194255829,
999
+ "rewards/reasoning_quality_reward_func": 0.375,
1000
+ "rewards/xml_structure_reward_func": 0.28333336114883423,
1001
+ "step": 62
1002
+ },
1003
+ {
1004
+ "completion_length": 282.5833435058594,
1005
+ "epoch": 0.01685844260101686,
1006
+ "grad_norm": 5.21875,
1007
+ "kl": 0.0017485963180661201,
1008
+ "learning_rate": 3.368983957219252e-06,
1009
+ "loss": 0.0,
1010
+ "reward": 1.4168031215667725,
1011
+ "reward_std": 0.46065354347229004,
1012
+ "rewards/basic_format_reward_func": 0.2916666865348816,
1013
+ "rewards/code_execution_reward": 0.24180302023887634,
1014
+ "rewards/code_quality_reward_func": 0.27500003576278687,
1015
+ "rewards/reasoning_quality_reward_func": 0.36666667461395264,
1016
+ "rewards/xml_structure_reward_func": 0.24166667461395264,
1017
+ "step": 63
1018
+ },
1019
+ {
1020
+ "completion_length": 213.58334350585938,
1021
+ "epoch": 0.017126036928017126,
1022
+ "grad_norm": 5.0625,
1023
+ "kl": 0.0008941316627897322,
1024
+ "learning_rate": 3.4224598930481284e-06,
1025
+ "loss": 0.0,
1026
+ "reward": 2.941666603088379,
1027
+ "reward_std": 1.1783628463745117,
1028
+ "rewards/basic_format_reward_func": 0.4166666865348816,
1029
+ "rewards/code_execution_reward": 1.5500000715255737,
1030
+ "rewards/code_quality_reward_func": 0.3499999940395355,
1031
+ "rewards/reasoning_quality_reward_func": 0.3499999940395355,
1032
+ "rewards/xml_structure_reward_func": 0.27500003576278687,
1033
+ "step": 64
1034
+ },
1035
+ {
1036
+ "completion_length": 299.5833435058594,
1037
+ "epoch": 0.017393631255017392,
1038
+ "grad_norm": 5.3125,
1039
+ "kl": 0.001938142697326839,
1040
+ "learning_rate": 3.4759358288770056e-06,
1041
+ "loss": 0.0,
1042
+ "reward": 1.4340009689331055,
1043
+ "reward_std": 0.5084213018417358,
1044
+ "rewards/basic_format_reward_func": 0.2916666865348816,
1045
+ "rewards/code_execution_reward": 0.2840009927749634,
1046
+ "rewards/code_quality_reward_func": 0.24166667461395264,
1047
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
1048
+ "rewards/xml_structure_reward_func": 0.21666668355464935,
1049
+ "step": 65
1050
+ },
1051
+ {
1052
+ "completion_length": 308.66668701171875,
1053
+ "epoch": 0.017661225582017662,
1054
+ "grad_norm": 5.0,
1055
+ "kl": 0.0014387283008545637,
1056
+ "learning_rate": 3.529411764705883e-06,
1057
+ "loss": 0.0,
1058
+ "reward": 1.7985808849334717,
1059
+ "reward_std": 0.411335825920105,
1060
+ "rewards/basic_format_reward_func": 0.4166666865348816,
1061
+ "rewards/code_execution_reward": 0.3735809028148651,
1062
+ "rewards/code_quality_reward_func": 0.3333333432674408,
1063
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
1064
+ "rewards/xml_structure_reward_func": 0.27500003576278687,
1065
+ "step": 66
1066
+ },
1067
+ {
1068
+ "completion_length": 233.75,
1069
+ "epoch": 0.01792881990901793,
1070
+ "grad_norm": 5.46875,
1071
+ "kl": 0.0016164870467036963,
1072
+ "learning_rate": 3.5828877005347597e-06,
1073
+ "loss": 0.0,
1074
+ "reward": 1.8757007122039795,
1075
+ "reward_std": 0.7557878494262695,
1076
+ "rewards/basic_format_reward_func": 0.3333333432674408,
1077
+ "rewards/code_execution_reward": 0.6507007479667664,
1078
+ "rewards/code_quality_reward_func": 0.27500003576278687,
1079
+ "rewards/reasoning_quality_reward_func": 0.375,
1080
+ "rewards/xml_structure_reward_func": 0.24166667461395264,
1081
+ "step": 67
1082
+ },
1083
+ {
1084
+ "completion_length": 327.0,
1085
+ "epoch": 0.018196414236018196,
1086
+ "grad_norm": 5.0625,
1087
+ "kl": 0.002256980864331126,
1088
+ "learning_rate": 3.6363636363636366e-06,
1089
+ "loss": 0.0,
1090
+ "reward": 1.734962821006775,
1091
+ "reward_std": 0.3988541066646576,
1092
+ "rewards/basic_format_reward_func": 0.4583333432674408,
1093
+ "rewards/code_execution_reward": 0.2682960629463196,
1094
+ "rewards/code_quality_reward_func": 0.32500001788139343,
1095
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
1096
+ "rewards/xml_structure_reward_func": 0.28333336114883423,
1097
+ "step": 68
1098
+ },
1099
+ {
1100
+ "completion_length": 348.91668701171875,
1101
+ "epoch": 0.018464008563018466,
1102
+ "grad_norm": 4.0,
1103
+ "kl": 0.0022144902031868696,
1104
+ "learning_rate": 3.6898395721925134e-06,
1105
+ "loss": 0.0,
1106
+ "reward": 1.6737807989120483,
1107
+ "reward_std": 0.551749587059021,
1108
+ "rewards/basic_format_reward_func": 0.375,
1109
+ "rewards/code_execution_reward": 0.3404473066329956,
1110
+ "rewards/code_quality_reward_func": 0.2916666865348816,
1111
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
1112
+ "rewards/xml_structure_reward_func": 0.2666666805744171,
1113
+ "step": 69
1114
+ },
1115
+ {
1116
+ "completion_length": 211.58334350585938,
1117
+ "epoch": 0.018731602890018732,
1118
+ "grad_norm": 5.5,
1119
+ "kl": 0.0028423962648957968,
1120
+ "learning_rate": 3.7433155080213907e-06,
1121
+ "loss": 0.0,
1122
+ "reward": 2.084716558456421,
1123
+ "reward_std": 0.7005678415298462,
1124
+ "rewards/basic_format_reward_func": 0.4583333432674408,
1125
+ "rewards/code_execution_reward": 0.6347164511680603,
1126
+ "rewards/code_quality_reward_func": 0.3083333373069763,
1127
+ "rewards/reasoning_quality_reward_func": 0.3916667103767395,
1128
+ "rewards/xml_structure_reward_func": 0.2916666865348816,
1129
+ "step": 70
1130
+ },
1131
+ {
1132
+ "completion_length": 283.8333435058594,
1133
+ "epoch": 0.018999197217019,
1134
+ "grad_norm": 4.53125,
1135
+ "kl": 0.0025364342145621777,
1136
+ "learning_rate": 3.796791443850268e-06,
1137
+ "loss": 0.0,
1138
+ "reward": 1.9688270092010498,
1139
+ "reward_std": 1.0129854679107666,
1140
+ "rewards/basic_format_reward_func": 0.375,
1141
+ "rewards/code_execution_reward": 0.6854934692382812,
1142
+ "rewards/code_quality_reward_func": 0.25833338499069214,
1143
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
1144
+ "rewards/xml_structure_reward_func": 0.2500000298023224,
1145
+ "step": 71
1146
+ },
1147
+ {
1148
+ "completion_length": 273.16668701171875,
1149
+ "epoch": 0.019266791544019266,
1150
+ "grad_norm": 6.21875,
1151
+ "kl": 0.001806919346563518,
1152
+ "learning_rate": 3.850267379679145e-06,
1153
+ "loss": 0.0,
1154
+ "reward": 2.2200722694396973,
1155
+ "reward_std": 0.6418557167053223,
1156
+ "rewards/basic_format_reward_func": 0.4583333432674408,
1157
+ "rewards/code_execution_reward": 0.7534055709838867,
1158
+ "rewards/code_quality_reward_func": 0.3333333432674408,
1159
+ "rewards/reasoning_quality_reward_func": 0.38333338499069214,
1160
+ "rewards/xml_structure_reward_func": 0.2916666865348816,
1161
+ "step": 72
1162
+ },
1163
+ {
1164
+ "completion_length": 253.5,
1165
+ "epoch": 0.019534385871019536,
1166
+ "grad_norm": 6.1875,
1167
+ "kl": 0.002755642170086503,
1168
+ "learning_rate": 3.903743315508022e-06,
1169
+ "loss": 0.0,
1170
+ "reward": 1.7943209409713745,
1171
+ "reward_std": 0.4601937234401703,
1172
+ "rewards/basic_format_reward_func": 0.375,
1173
+ "rewards/code_execution_reward": 0.47765427827835083,
1174
+ "rewards/code_quality_reward_func": 0.30000001192092896,
1175
+ "rewards/reasoning_quality_reward_func": 0.38333338499069214,
1176
+ "rewards/xml_structure_reward_func": 0.25833335518836975,
1177
+ "step": 73
1178
+ },
1179
+ {
1180
+ "completion_length": 222.9166717529297,
1181
+ "epoch": 0.019801980198019802,
1182
+ "grad_norm": 6.03125,
1183
+ "kl": 0.002581920474767685,
1184
+ "learning_rate": 3.957219251336899e-06,
1185
+ "loss": 0.0,
1186
+ "reward": 1.7171714305877686,
1187
+ "reward_std": 0.35186177492141724,
1188
+ "rewards/basic_format_reward_func": 0.4583333432674408,
1189
+ "rewards/code_execution_reward": 0.3255046010017395,
1190
+ "rewards/code_quality_reward_func": 0.2666667103767395,
1191
+ "rewards/reasoning_quality_reward_func": 0.375,
1192
+ "rewards/xml_structure_reward_func": 0.2916666865348816,
1193
+ "step": 74
1194
+ },
1195
+ {
1196
+ "completion_length": 342.75,
1197
+ "epoch": 0.02006957452502007,
1198
+ "grad_norm": 4.6875,
1199
+ "kl": 0.0017477937508374453,
1200
+ "learning_rate": 4.010695187165775e-06,
1201
+ "loss": 0.0,
1202
+ "reward": 1.7918099164962769,
1203
+ "reward_std": 0.33391231298446655,
1204
+ "rewards/basic_format_reward_func": 0.4583333432674408,
1205
+ "rewards/code_execution_reward": 0.29180991649627686,
1206
+ "rewards/code_quality_reward_func": 0.3499999940395355,
1207
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
1208
+ "rewards/xml_structure_reward_func": 0.2916666865348816,
1209
+ "step": 75
1210
+ },
1211
+ {
1212
+ "completion_length": 277.5,
1213
+ "epoch": 0.020337168852020335,
1214
+ "grad_norm": 5.46875,
1215
+ "kl": 0.002431904897093773,
1216
+ "learning_rate": 4.064171122994653e-06,
1217
+ "loss": 0.0,
1218
+ "reward": 1.6002721786499023,
1219
+ "reward_std": 0.4187708795070648,
1220
+ "rewards/basic_format_reward_func": 0.375,
1221
+ "rewards/code_execution_reward": 0.27527207136154175,
1222
+ "rewards/code_quality_reward_func": 0.3166666626930237,
1223
+ "rewards/reasoning_quality_reward_func": 0.38333338499069214,
1224
+ "rewards/xml_structure_reward_func": 0.2500000298023224,
1225
+ "step": 76
1226
+ },
1227
+ {
1228
+ "completion_length": 257.5833435058594,
1229
+ "epoch": 0.020604763179020606,
1230
+ "grad_norm": 5.21875,
1231
+ "kl": 0.0018626938108354807,
1232
+ "learning_rate": 4.11764705882353e-06,
1233
+ "loss": 0.0,
1234
+ "reward": 1.8927496671676636,
1235
+ "reward_std": 0.4733630120754242,
1236
+ "rewards/basic_format_reward_func": 0.5,
1237
+ "rewards/code_execution_reward": 0.4094163775444031,
1238
+ "rewards/code_quality_reward_func": 0.32500001788139343,
1239
+ "rewards/reasoning_quality_reward_func": 0.3583333492279053,
1240
+ "rewards/xml_structure_reward_func": 0.30000001192092896,
1241
+ "step": 77
1242
+ },
1243
+ {
1244
+ "completion_length": 258.25,
1245
+ "epoch": 0.020872357506020872,
1246
+ "grad_norm": 5.0,
1247
+ "kl": 0.00294861220754683,
1248
+ "learning_rate": 4.171122994652407e-06,
1249
+ "loss": 0.0,
1250
+ "reward": 2.0084242820739746,
1251
+ "reward_std": 0.6261391639709473,
1252
+ "rewards/basic_format_reward_func": 0.4583333432674408,
1253
+ "rewards/code_execution_reward": 0.5584243535995483,
1254
+ "rewards/code_quality_reward_func": 0.32500001788139343,
1255
+ "rewards/reasoning_quality_reward_func": 0.38333338499069214,
1256
+ "rewards/xml_structure_reward_func": 0.28333336114883423,
1257
+ "step": 78
1258
+ },
1259
+ {
1260
+ "completion_length": 231.58334350585938,
1261
+ "epoch": 0.02113995183302114,
1262
+ "grad_norm": 4.40625,
1263
+ "kl": 0.002004222711548209,
1264
+ "learning_rate": 4.224598930481284e-06,
1265
+ "loss": 0.0,
1266
+ "reward": 2.4067962169647217,
1267
+ "reward_std": 0.8294322490692139,
1268
+ "rewards/basic_format_reward_func": 0.4583333432674408,
1269
+ "rewards/code_execution_reward": 0.9734629392623901,
1270
+ "rewards/code_quality_reward_func": 0.3166666626930237,
1271
+ "rewards/reasoning_quality_reward_func": 0.375,
1272
+ "rewards/xml_structure_reward_func": 0.28333336114883423,
1273
+ "step": 79
1274
+ },
1275
+ {
1276
+ "completion_length": 291.25,
1277
+ "epoch": 0.02140754616002141,
1278
+ "grad_norm": 5.40625,
1279
+ "kl": 0.004346501547843218,
1280
+ "learning_rate": 4.2780748663101604e-06,
1281
+ "loss": 0.0,
1282
+ "reward": 1.777273178100586,
1283
+ "reward_std": 0.38957223296165466,
1284
+ "rewards/basic_format_reward_func": 0.4166666865348816,
1285
+ "rewards/code_execution_reward": 0.3606064021587372,
1286
+ "rewards/code_quality_reward_func": 0.34166666865348816,
1287
+ "rewards/reasoning_quality_reward_func": 0.375,
1288
+ "rewards/xml_structure_reward_func": 0.28333336114883423,
1289
+ "step": 80
1290
+ },
1291
+ {
1292
+ "completion_length": 234.5,
1293
+ "epoch": 0.021675140487021675,
1294
+ "grad_norm": 6.3125,
1295
+ "kl": 0.0035126435104757547,
1296
+ "learning_rate": 4.331550802139038e-06,
1297
+ "loss": 0.0,
1298
+ "reward": 1.897292971611023,
1299
+ "reward_std": 0.42207369208335876,
1300
+ "rewards/basic_format_reward_func": 0.4166666865348816,
1301
+ "rewards/code_execution_reward": 0.4889596402645111,
1302
+ "rewards/code_quality_reward_func": 0.32500001788139343,
1303
+ "rewards/reasoning_quality_reward_func": 0.3916666507720947,
1304
+ "rewards/xml_structure_reward_func": 0.2750000059604645,
1305
+ "step": 81
1306
+ },
1307
+ {
1308
+ "completion_length": 228.9166717529297,
1309
+ "epoch": 0.021942734814021942,
1310
+ "grad_norm": 6.28125,
1311
+ "kl": 0.002383569488301873,
1312
+ "learning_rate": 4.385026737967915e-06,
1313
+ "loss": 0.0,
1314
+ "reward": 1.6903694868087769,
1315
+ "reward_std": 0.436374306678772,
1316
+ "rewards/basic_format_reward_func": 0.375,
1317
+ "rewards/code_execution_reward": 0.3487027585506439,
1318
+ "rewards/code_quality_reward_func": 0.31666669249534607,
1319
+ "rewards/reasoning_quality_reward_func": 0.3916667103767395,
1320
+ "rewards/xml_structure_reward_func": 0.25833335518836975,
1321
+ "step": 82
1322
+ },
1323
+ {
1324
+ "completion_length": 297.0,
1325
+ "epoch": 0.02221032914102221,
1326
+ "grad_norm": 5.28125,
1327
+ "kl": 0.0043878196738660336,
1328
+ "learning_rate": 4.438502673796792e-06,
1329
+ "loss": 0.0,
1330
+ "reward": 1.7573189735412598,
1331
+ "reward_std": 0.3008286654949188,
1332
+ "rewards/basic_format_reward_func": 0.5,
1333
+ "rewards/code_execution_reward": 0.2573189437389374,
1334
+ "rewards/code_quality_reward_func": 0.30000001192092896,
1335
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
1336
+ "rewards/xml_structure_reward_func": 0.30000001192092896,
1337
+ "step": 83
1338
+ },
1339
+ {
1340
+ "completion_length": 242.75,
1341
+ "epoch": 0.02247792346802248,
1342
+ "grad_norm": 7.75,
1343
+ "kl": 0.0079798623919487,
1344
+ "learning_rate": 4.491978609625669e-06,
1345
+ "loss": 0.0,
1346
+ "reward": 1.7856076955795288,
1347
+ "reward_std": 0.4495140016078949,
1348
+ "rewards/basic_format_reward_func": 0.4166666865348816,
1349
+ "rewards/code_execution_reward": 0.4022744297981262,
1350
+ "rewards/code_quality_reward_func": 0.31666669249534607,
1351
+ "rewards/reasoning_quality_reward_func": 0.375,
1352
+ "rewards/xml_structure_reward_func": 0.27500003576278687,
1353
+ "step": 84
1354
+ },
1355
+ {
1356
+ "completion_length": 246.75,
1357
+ "epoch": 0.022745517795022745,
1358
+ "grad_norm": 5.03125,
1359
+ "kl": 0.0022815698757767677,
1360
+ "learning_rate": 4.5454545454545455e-06,
1361
+ "loss": 0.0,
1362
+ "reward": 1.8084133863449097,
1363
+ "reward_std": 0.18776123225688934,
1364
+ "rewards/basic_format_reward_func": 0.4583333432674408,
1365
+ "rewards/code_execution_reward": 0.31674671173095703,
1366
+ "rewards/code_quality_reward_func": 0.34166669845581055,
1367
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
1368
+ "rewards/xml_structure_reward_func": 0.2916666865348816,
1369
+ "step": 85
1370
+ },
1371
+ {
1372
+ "completion_length": 305.5,
1373
+ "epoch": 0.023013112122023012,
1374
+ "grad_norm": 4.21875,
1375
+ "kl": 0.003150416072458029,
1376
+ "learning_rate": 4.598930481283423e-06,
1377
+ "loss": 0.0,
1378
+ "reward": 1.6666734218597412,
1379
+ "reward_std": 0.3055960536003113,
1380
+ "rewards/basic_format_reward_func": 0.4583333432674408,
1381
+ "rewards/code_execution_reward": 0.2250065803527832,
1382
+ "rewards/code_quality_reward_func": 0.3083333373069763,
1383
+ "rewards/reasoning_quality_reward_func": 0.3916667103767395,
1384
+ "rewards/xml_structure_reward_func": 0.28333336114883423,
1385
+ "step": 86
1386
+ },
1387
+ {
1388
+ "completion_length": 185.1666717529297,
1389
+ "epoch": 0.023280706449023282,
1390
+ "grad_norm": 5.1875,
1391
+ "kl": 0.005251727066934109,
1392
+ "learning_rate": 4.6524064171123e-06,
1393
+ "loss": 0.0,
1394
+ "reward": 2.542512893676758,
1395
+ "reward_std": 0.6368582248687744,
1396
+ "rewards/basic_format_reward_func": 0.4166666865348816,
1397
+ "rewards/code_execution_reward": 1.1925126314163208,
1398
+ "rewards/code_quality_reward_func": 0.3166666626930237,
1399
+ "rewards/reasoning_quality_reward_func": 0.34166669845581055,
1400
+ "rewards/xml_structure_reward_func": 0.27500003576278687,
1401
+ "step": 87
1402
+ },
1403
+ {
1404
+ "completion_length": 298.8333435058594,
1405
+ "epoch": 0.02354830077602355,
1406
+ "grad_norm": 5.21875,
1407
+ "kl": 0.006109694484621286,
1408
+ "learning_rate": 4.705882352941177e-06,
1409
+ "loss": 0.0,
1410
+ "reward": 1.9166667461395264,
1411
+ "reward_std": 0.6324446201324463,
1412
+ "rewards/basic_format_reward_func": 0.4166666865348816,
1413
+ "rewards/code_execution_reward": 0.5333333015441895,
1414
+ "rewards/code_quality_reward_func": 0.30000001192092896,
1415
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
1416
+ "rewards/xml_structure_reward_func": 0.2666667103767395,
1417
+ "step": 88
1418
+ },
1419
+ {
1420
+ "completion_length": 216.25,
1421
+ "epoch": 0.023815895103023815,
1422
+ "grad_norm": 5.03125,
1423
+ "kl": 0.0036100514698773623,
1424
+ "learning_rate": 4.759358288770054e-06,
1425
+ "loss": 0.0,
1426
+ "reward": 2.4646191596984863,
1427
+ "reward_std": 0.5950441360473633,
1428
+ "rewards/basic_format_reward_func": 0.5,
1429
+ "rewards/code_execution_reward": 0.9646190404891968,
1430
+ "rewards/code_quality_reward_func": 0.32500001788139343,
1431
+ "rewards/reasoning_quality_reward_func": 0.375,
1432
+ "rewards/xml_structure_reward_func": 0.30000001192092896,
1433
+ "step": 89
1434
+ },
1435
+ {
1436
+ "completion_length": 212.1666717529297,
1437
+ "epoch": 0.024083489430024082,
1438
+ "grad_norm": 5.625,
1439
+ "kl": 0.004241304472088814,
1440
+ "learning_rate": 4.812834224598931e-06,
1441
+ "loss": 0.0,
1442
+ "reward": 1.717494249343872,
1443
+ "reward_std": 0.3651425540447235,
1444
+ "rewards/basic_format_reward_func": 0.4166666865348816,
1445
+ "rewards/code_execution_reward": 0.3341608941555023,
1446
+ "rewards/code_quality_reward_func": 0.3083333373069763,
1447
+ "rewards/reasoning_quality_reward_func": 0.38333338499069214,
1448
+ "rewards/xml_structure_reward_func": 0.27500003576278687,
1449
+ "step": 90
1450
+ },
1451
+ {
1452
+ "completion_length": 253.1666717529297,
1453
+ "epoch": 0.024351083757024352,
1454
+ "grad_norm": 6.21875,
1455
+ "kl": 0.01768430508673191,
1456
+ "learning_rate": 4.866310160427808e-06,
1457
+ "loss": 0.0,
1458
+ "reward": 1.7001416683197021,
1459
+ "reward_std": 0.21167293190956116,
1460
+ "rewards/basic_format_reward_func": 0.4583333432674408,
1461
+ "rewards/code_execution_reward": 0.24180833995342255,
1462
+ "rewards/code_quality_reward_func": 0.32500001788139343,
1463
+ "rewards/reasoning_quality_reward_func": 0.38333338499069214,
1464
+ "rewards/xml_structure_reward_func": 0.2916666865348816,
1465
+ "step": 91
1466
+ },
1467
+ {
1468
+ "completion_length": 268.16668701171875,
1469
+ "epoch": 0.02461867808402462,
1470
+ "grad_norm": 4.46875,
1471
+ "kl": 0.0029091592878103256,
1472
+ "learning_rate": 4.919786096256685e-06,
1473
+ "loss": 0.0,
1474
+ "reward": 2.156282424926758,
1475
+ "reward_std": 0.7013486623764038,
1476
+ "rewards/basic_format_reward_func": 0.4583333432674408,
1477
+ "rewards/code_execution_reward": 0.7146157026290894,
1478
+ "rewards/code_quality_reward_func": 0.31666669249534607,
1479
+ "rewards/reasoning_quality_reward_func": 0.38333338499069214,
1480
+ "rewards/xml_structure_reward_func": 0.28333336114883423,
1481
+ "step": 92
1482
+ },
1483
+ {
1484
+ "completion_length": 213.9166717529297,
1485
+ "epoch": 0.024886272411024885,
1486
+ "grad_norm": 5.96875,
1487
+ "kl": 0.0043329414911568165,
1488
+ "learning_rate": 4.973262032085562e-06,
1489
+ "loss": 0.0,
1490
+ "reward": 1.6091450452804565,
1491
+ "reward_std": 0.4102088212966919,
1492
+ "rewards/basic_format_reward_func": 0.375,
1493
+ "rewards/code_execution_reward": 0.30081164836883545,
1494
+ "rewards/code_quality_reward_func": 0.28333336114883423,
1495
+ "rewards/reasoning_quality_reward_func": 0.3916666507720947,
1496
+ "rewards/xml_structure_reward_func": 0.25833335518836975,
1497
+ "step": 93
1498
+ },
1499
+ {
1500
+ "completion_length": 297.3333435058594,
1501
+ "epoch": 0.025153866738025155,
1502
+ "grad_norm": 5.21875,
1503
+ "kl": 0.0038607739843428135,
1504
+ "learning_rate": 5.026737967914439e-06,
1505
+ "loss": 0.0,
1506
+ "reward": 1.887909173965454,
1507
+ "reward_std": 0.30988383293151855,
1508
+ "rewards/basic_format_reward_func": 0.5,
1509
+ "rewards/code_execution_reward": 0.35457563400268555,
1510
+ "rewards/code_quality_reward_func": 0.3333333432674408,
1511
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
1512
+ "rewards/xml_structure_reward_func": 0.30000001192092896,
1513
+ "step": 94
1514
+ },
1515
+ {
1516
+ "completion_length": 237.08334350585938,
1517
+ "epoch": 0.025421461065025422,
1518
+ "grad_norm": 6.09375,
1519
+ "kl": 0.0038710730150341988,
1520
+ "learning_rate": 5.0802139037433165e-06,
1521
+ "loss": 0.0,
1522
+ "reward": 1.8167171478271484,
1523
+ "reward_std": 0.3526454567909241,
1524
+ "rewards/basic_format_reward_func": 0.4166666865348816,
1525
+ "rewards/code_execution_reward": 0.41671714186668396,
1526
+ "rewards/code_quality_reward_func": 0.31666669249534607,
1527
+ "rewards/reasoning_quality_reward_func": 0.3916667103767395,
1528
+ "rewards/xml_structure_reward_func": 0.2750000059604645,
1529
+ "step": 95
1530
+ },
1531
+ {
1532
+ "completion_length": 269.16668701171875,
1533
+ "epoch": 0.02568905539202569,
1534
+ "grad_norm": 5.3125,
1535
+ "kl": 0.0043390365317463875,
1536
+ "learning_rate": 5.133689839572193e-06,
1537
+ "loss": 0.0,
1538
+ "reward": 1.9732608795166016,
1539
+ "reward_std": 0.4741336703300476,
1540
+ "rewards/basic_format_reward_func": 0.4583333432674408,
1541
+ "rewards/code_execution_reward": 0.4982609748840332,
1542
+ "rewards/code_quality_reward_func": 0.3333333432674408,
1543
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
1544
+ "rewards/xml_structure_reward_func": 0.28333336114883423,
1545
+ "step": 96
1546
+ },
1547
+ {
1548
+ "completion_length": 253.1666717529297,
1549
+ "epoch": 0.025956649719025955,
1550
+ "grad_norm": 6.03125,
1551
+ "kl": 0.006835515145212412,
1552
+ "learning_rate": 5.187165775401069e-06,
1553
+ "loss": 0.0,
1554
+ "reward": 1.851419448852539,
1555
+ "reward_std": 0.38760122656822205,
1556
+ "rewards/basic_format_reward_func": 0.4583333432674408,
1557
+ "rewards/code_execution_reward": 0.40141940116882324,
1558
+ "rewards/code_quality_reward_func": 0.32500001788139343,
1559
+ "rewards/reasoning_quality_reward_func": 0.38333338499069214,
1560
+ "rewards/xml_structure_reward_func": 0.28333336114883423,
1561
+ "step": 97
1562
+ },
1563
+ {
1564
+ "completion_length": 287.66668701171875,
1565
+ "epoch": 0.026224244046026225,
1566
+ "grad_norm": 4.4375,
1567
+ "kl": 0.004592955112457275,
1568
+ "learning_rate": 5.240641711229947e-06,
1569
+ "loss": 0.0,
1570
+ "reward": 1.9823663234710693,
1571
+ "reward_std": 0.15290634334087372,
1572
+ "rewards/basic_format_reward_func": 0.5,
1573
+ "rewards/code_execution_reward": 0.4323663115501404,
1574
+ "rewards/code_quality_reward_func": 0.3499999940395355,
1575
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
1576
+ "rewards/xml_structure_reward_func": 0.30000001192092896,
1577
+ "step": 98
1578
+ },
1579
+ {
1580
+ "completion_length": 291.0,
1581
+ "epoch": 0.026491838373026492,
1582
+ "grad_norm": 4.46875,
1583
+ "kl": 0.004338396713137627,
1584
+ "learning_rate": 5.294117647058824e-06,
1585
+ "loss": 0.0,
1586
+ "reward": 1.9069900512695312,
1587
+ "reward_std": 0.4237919747829437,
1588
+ "rewards/basic_format_reward_func": 0.4166666865348816,
1589
+ "rewards/code_execution_reward": 0.48199015855789185,
1590
+ "rewards/code_quality_reward_func": 0.34166666865348816,
1591
+ "rewards/reasoning_quality_reward_func": 0.38333338499069214,
1592
+ "rewards/xml_structure_reward_func": 0.28333336114883423,
1593
+ "step": 99
1594
+ },
1595
+ {
1596
+ "completion_length": 336.16668701171875,
1597
+ "epoch": 0.02675943270002676,
1598
+ "grad_norm": 4.59375,
1599
+ "kl": 0.004567224998027086,
1600
+ "learning_rate": 5.347593582887702e-06,
1601
+ "loss": 0.0,
1602
+ "reward": 1.897521734237671,
1603
+ "reward_std": 0.35646283626556396,
1604
+ "rewards/basic_format_reward_func": 0.4583333432674408,
1605
+ "rewards/code_execution_reward": 0.46418827772140503,
1606
+ "rewards/code_quality_reward_func": 0.2916666865348816,
1607
+ "rewards/reasoning_quality_reward_func": 0.40000003576278687,
1608
+ "rewards/xml_structure_reward_func": 0.28333336114883423,
1609
+ "step": 100
1610
+ }
1611
+ ],
1612
+ "logging_steps": 1,
1613
+ "max_steps": 3737,
1614
+ "num_input_tokens_seen": 0,
1615
+ "num_train_epochs": 1,
1616
+ "save_steps": 100,
1617
+ "stateful_callbacks": {
1618
+ "TrainerControl": {
1619
+ "args": {
1620
+ "should_epoch_stop": false,
1621
+ "should_evaluate": false,
1622
+ "should_log": false,
1623
+ "should_save": true,
1624
+ "should_training_stop": false
1625
+ },
1626
+ "attributes": {}
1627
+ }
1628
+ },
1629
+ "total_flos": 0.0,
1630
+ "train_batch_size": 1,
1631
+ "trial_name": null,
1632
+ "trial_params": null
1633
+ }
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-100/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cabc81062865544af01bbdc9d45a6f3370b497f42952f0b634459bb2ea96fca0
3
+ size 5624
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-100/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1100/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4c1d2d2c665a761dca1a6e793aa0fcc1f9a8bb4b71c0ecf6d7ce3ca7e21325f5
3
+ size 1976374202
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1200/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a181f049b8b4c72b9860feec9f2ab6994db6a7224a6e62e162d8ca1e310b01e1
3
+ size 988097824
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1200/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:73c775c8033ac05ae05bf9f4be96ca11345623bbd6e8446ba22228e55af09e06
3
+ size 1976374202
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1300/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:77de3a3375c53333ea216a0fa9543603557da31efb975bdbcfa6c9fdc51a91c1
3
+ size 988097824
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1300/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4fc00ae97486588443c61b4f67a4b772c92238025bc6fe377e4428fcf17d1dda
3
+ size 1976374202
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1600/added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1600/config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "./outputs/Qwen-0.5B-GRPO-Code-vllm-base/checkpoint-800",
3
+ "architectures": [
4
+ "Qwen2ForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151645,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 896,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 4864,
13
+ "max_position_embeddings": 32768,
14
+ "max_window_layers": 21,
15
+ "model_type": "qwen2",
16
+ "num_attention_heads": 14,
17
+ "num_hidden_layers": 24,
18
+ "num_key_value_heads": 2,
19
+ "rms_norm_eps": 1e-06,
20
+ "rope_scaling": null,
21
+ "rope_theta": 1000000.0,
22
+ "sliding_window": null,
23
+ "tie_word_embeddings": true,
24
+ "torch_dtype": "bfloat16",
25
+ "transformers_version": "4.48.2",
26
+ "use_cache": true,
27
+ "use_sliding_window": false,
28
+ "vocab_size": 151936
29
+ }
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1600/generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "repetition_penalty": 1.1,
10
+ "temperature": 0.7,
11
+ "top_k": 20,
12
+ "top_p": 0.8,
13
+ "transformers_version": "4.48.2"
14
+ }
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1600/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1600/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:440bade28ce8f58bec094cac3fc7ce45c546182369d785dbd81dc661ab012a68
3
+ size 14448
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1600/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0f68a37892a1b445d21bb35cc10bf7a058a6f9ec8c363f5ed156ff4f49d90fb6
3
+ size 14512
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1600/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8754a5f1cbd85f66d1ea8b9604fdbd58dbfd1eb629a110e719621dd41c549896
3
+ size 1064
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1600/special_tokens_map.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": "<|im_end|>"
25
+ }
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1600/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:63a2951d5edfa5cc0a2346ef872f8c77a2920274cfc3b503b04e3799104dee80
3
+ size 11422060
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1600/tokenizer_config.json ADDED
@@ -0,0 +1,212 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
199
+ "clean_up_tokenization_spaces": false,
200
+ "eos_token": "<|im_end|>",
201
+ "errors": "replace",
202
+ "extra_special_tokens": {},
203
+ "max_length": null,
204
+ "model_max_length": 131072,
205
+ "pad_to_multiple_of": null,
206
+ "pad_token": "<|im_end|>",
207
+ "pad_token_type_id": 0,
208
+ "padding_side": "left",
209
+ "split_special_tokens": false,
210
+ "tokenizer_class": "Qwen2Tokenizer",
211
+ "unk_token": null
212
+ }
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1600/trainer_state.json ADDED
The diff for this file is too large to render. See raw diff
 
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1600/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b1a7fd0df466b8805938262d9ba986467f52c4e050d689524d6c7e1032bae220
3
+ size 5624
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1600/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1700/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f950502b07530b259c47a9b9ce3260c30fd52047d833d179d2ec4a13e5585dd5
3
+ size 988097824
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-1900/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:13884a01e434329b3500b37bf78d852b5bd3df1c56a7eacdf270c2779a52ee64
3
+ size 1976374202
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-200/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a471a4311eb3157e819e65ece392245e98c77162ec74c811ffc233c8d648f2f2
3
+ size 988097824
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-2000/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:265e4ed1e3e20f31081e57cde3d0338204cf46072cd3882236ff01720d78a066
3
+ size 988097824
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-2100/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:abc84d8812032dfb6aa5357e74c47048214de0275a9992ac244e0e8ccb04cc68
3
+ size 1976374202
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-500/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:99f095b72ba0a54812ccc7fa56c7d23aaea57ec0094fa391ffcb1f205a97c76c
3
+ size 988097824
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-500/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a55814bc8055c887a97bd0847ae903851a377d015db4ae6afa6b2a4308fef8b7
3
+ size 14448
Qwen-0.5B-GRPO-Code-vllm-modified-v1/checkpoint-500/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0f68a37892a1b445d21bb35cc10bf7a058a6f9ec8c363f5ed156ff4f49d90fb6
3
+ size 14512