Upload model
Browse files- config.json +40 -0
- generation_config.json +8 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +26 -0
- trainer_state.json +1947 -0
- training_args.bin +3 -0
config.json
ADDED
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/home/madaraszg/mamba/test_mamba_wsd/checkpoint-570000",
|
3 |
+
"architectures": [
|
4 |
+
"MambaForCausalLM"
|
5 |
+
],
|
6 |
+
"bos_token_id": 0,
|
7 |
+
"conv_kernel": 4,
|
8 |
+
"d_inner": 1536,
|
9 |
+
"d_model": 768,
|
10 |
+
"eos_token_id": 0,
|
11 |
+
"expand": 2,
|
12 |
+
"fused_add_norm": true,
|
13 |
+
"hidden_act": "silu",
|
14 |
+
"hidden_size": 768,
|
15 |
+
"initializer_range": 0.1,
|
16 |
+
"intermediate_size": 1536,
|
17 |
+
"layer_norm_epsilon": 1e-05,
|
18 |
+
"model_type": "mamba",
|
19 |
+
"n_layer": 24,
|
20 |
+
"num_hidden_layers": 24,
|
21 |
+
"pad_token_id": 0,
|
22 |
+
"pad_vocab_size_multiple": 8,
|
23 |
+
"rescale_prenorm_residual": false,
|
24 |
+
"residual_in_fp32": true,
|
25 |
+
"rms_norm": true,
|
26 |
+
"ssm_cfg": {},
|
27 |
+
"state_size": 16,
|
28 |
+
"time_step_floor": 0.0001,
|
29 |
+
"time_step_init_scheme": "random",
|
30 |
+
"time_step_max": 0.1,
|
31 |
+
"time_step_min": 0.001,
|
32 |
+
"time_step_rank": 48,
|
33 |
+
"time_step_scale": 1.0,
|
34 |
+
"torch_dtype": "float32",
|
35 |
+
"transformers_version": "4.41.2",
|
36 |
+
"use_bias": false,
|
37 |
+
"use_cache": false,
|
38 |
+
"use_conv_bias": true,
|
39 |
+
"vocab_size": 52000
|
40 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 0,
|
4 |
+
"eos_token_id": 0,
|
5 |
+
"pad_token_id": 0,
|
6 |
+
"transformers_version": "4.41.2",
|
7 |
+
"use_cache": false
|
8 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6a311dc3bee49f979d95d6c130e6b6b4df18d8a6b9fca0ce3a9c6e17a08c9061
|
3 |
+
size 521905938
|
special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<|endoftext|>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": true,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "<|endoftext|>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": true,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "<|endoftext|>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<|endoftext|>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": true,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": false,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<|endoftext|>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": true,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
}
|
14 |
+
},
|
15 |
+
"bos_token": "<|endoftext|>",
|
16 |
+
"clean_up_tokenization_spaces": true,
|
17 |
+
"eos_token": "<|endoftext|>",
|
18 |
+
"max_length": 2048,
|
19 |
+
"model_max_length": 1024,
|
20 |
+
"pad_token": "<|endoftext|>",
|
21 |
+
"stride": 0,
|
22 |
+
"tokenizer_class": "GPTNeoXTokenizer",
|
23 |
+
"truncation_side": "right",
|
24 |
+
"truncation_strategy": "longest_first",
|
25 |
+
"unk_token": "<|endoftext|>"
|
26 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1947 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.9786327442581368,
|
5 |
+
"eval_steps": 15000,
|
6 |
+
"global_step": 370000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.003967430044289744,
|
13 |
+
"grad_norm": 1.5698450803756714,
|
14 |
+
"learning_rate": 2e-05,
|
15 |
+
"loss": 4.231,
|
16 |
+
"step": 1500
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.007934860088579488,
|
20 |
+
"grad_norm": 1.8081231117248535,
|
21 |
+
"learning_rate": 2e-05,
|
22 |
+
"loss": 4.1347,
|
23 |
+
"step": 3000
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.011902290132869232,
|
27 |
+
"grad_norm": 1.1643619537353516,
|
28 |
+
"learning_rate": 2e-05,
|
29 |
+
"loss": 4.1056,
|
30 |
+
"step": 4500
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.015869720177158975,
|
34 |
+
"grad_norm": 1.3358386754989624,
|
35 |
+
"learning_rate": 2e-05,
|
36 |
+
"loss": 4.0762,
|
37 |
+
"step": 6000
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.019837150221448722,
|
41 |
+
"grad_norm": 1.3741443157196045,
|
42 |
+
"learning_rate": 2e-05,
|
43 |
+
"loss": 4.0576,
|
44 |
+
"step": 7500
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.023804580265738465,
|
48 |
+
"grad_norm": 1.3668568134307861,
|
49 |
+
"learning_rate": 2e-05,
|
50 |
+
"loss": 4.0384,
|
51 |
+
"step": 9000
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.027772010310028208,
|
55 |
+
"grad_norm": 1.714483618736267,
|
56 |
+
"learning_rate": 2e-05,
|
57 |
+
"loss": 4.0187,
|
58 |
+
"step": 10500
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.03173944035431795,
|
62 |
+
"grad_norm": 1.3867794275283813,
|
63 |
+
"learning_rate": 2e-05,
|
64 |
+
"loss": 4.0159,
|
65 |
+
"step": 12000
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.0357068703986077,
|
69 |
+
"grad_norm": 1.603532075881958,
|
70 |
+
"learning_rate": 2e-05,
|
71 |
+
"loss": 3.9967,
|
72 |
+
"step": 13500
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.039674300442897444,
|
76 |
+
"grad_norm": 1.5365407466888428,
|
77 |
+
"learning_rate": 2e-05,
|
78 |
+
"loss": 3.9848,
|
79 |
+
"step": 15000
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.039674300442897444,
|
83 |
+
"eval_loss": 3.973594903945923,
|
84 |
+
"eval_runtime": 509.3826,
|
85 |
+
"eval_samples_per_second": 131.161,
|
86 |
+
"eval_steps_per_second": 32.791,
|
87 |
+
"step": 15000
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.04364173048718718,
|
91 |
+
"grad_norm": 1.728336215019226,
|
92 |
+
"learning_rate": 2e-05,
|
93 |
+
"loss": 3.9812,
|
94 |
+
"step": 16500
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.04760916053147693,
|
98 |
+
"grad_norm": 1.8370418548583984,
|
99 |
+
"learning_rate": 2e-05,
|
100 |
+
"loss": 3.9633,
|
101 |
+
"step": 18000
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.051576590575766676,
|
105 |
+
"grad_norm": 1.6304991245269775,
|
106 |
+
"learning_rate": 2e-05,
|
107 |
+
"loss": 3.9549,
|
108 |
+
"step": 19500
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 0.055544020620056415,
|
112 |
+
"grad_norm": 1.4472306966781616,
|
113 |
+
"learning_rate": 2e-05,
|
114 |
+
"loss": 3.9518,
|
115 |
+
"step": 21000
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 0.05951145066434616,
|
119 |
+
"grad_norm": 2.202906370162964,
|
120 |
+
"learning_rate": 2e-05,
|
121 |
+
"loss": 3.9497,
|
122 |
+
"step": 22500
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.0634788807086359,
|
126 |
+
"grad_norm": 1.5186316967010498,
|
127 |
+
"learning_rate": 2e-05,
|
128 |
+
"loss": 3.9362,
|
129 |
+
"step": 24000
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.06744631075292565,
|
133 |
+
"grad_norm": 2.0651211738586426,
|
134 |
+
"learning_rate": 2e-05,
|
135 |
+
"loss": 3.932,
|
136 |
+
"step": 25500
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.0714137407972154,
|
140 |
+
"grad_norm": 1.750518560409546,
|
141 |
+
"learning_rate": 2e-05,
|
142 |
+
"loss": 3.9276,
|
143 |
+
"step": 27000
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 0.07538117084150514,
|
147 |
+
"grad_norm": 2.3646767139434814,
|
148 |
+
"learning_rate": 2e-05,
|
149 |
+
"loss": 3.9108,
|
150 |
+
"step": 28500
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 0.07934860088579489,
|
154 |
+
"grad_norm": 1.3822572231292725,
|
155 |
+
"learning_rate": 2e-05,
|
156 |
+
"loss": 3.9242,
|
157 |
+
"step": 30000
|
158 |
+
},
|
159 |
+
{
|
160 |
+
"epoch": 0.07934860088579489,
|
161 |
+
"eval_loss": 3.8984525203704834,
|
162 |
+
"eval_runtime": 509.4664,
|
163 |
+
"eval_samples_per_second": 131.139,
|
164 |
+
"eval_steps_per_second": 32.785,
|
165 |
+
"step": 30000
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.08331603093008462,
|
169 |
+
"grad_norm": 1.394733190536499,
|
170 |
+
"learning_rate": 2e-05,
|
171 |
+
"loss": 3.9112,
|
172 |
+
"step": 31500
|
173 |
+
},
|
174 |
+
{
|
175 |
+
"epoch": 0.08728346097437437,
|
176 |
+
"grad_norm": 2.038745641708374,
|
177 |
+
"learning_rate": 2e-05,
|
178 |
+
"loss": 3.9065,
|
179 |
+
"step": 33000
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 0.09125089101866411,
|
183 |
+
"grad_norm": 1.3629461526870728,
|
184 |
+
"learning_rate": 2e-05,
|
185 |
+
"loss": 3.8944,
|
186 |
+
"step": 34500
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 0.09521832106295386,
|
190 |
+
"grad_norm": 1.59019136428833,
|
191 |
+
"learning_rate": 2e-05,
|
192 |
+
"loss": 3.899,
|
193 |
+
"step": 36000
|
194 |
+
},
|
195 |
+
{
|
196 |
+
"epoch": 0.0991857511072436,
|
197 |
+
"grad_norm": 1.7221766710281372,
|
198 |
+
"learning_rate": 2e-05,
|
199 |
+
"loss": 3.8944,
|
200 |
+
"step": 37500
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.10315318115153335,
|
204 |
+
"grad_norm": 1.5057470798492432,
|
205 |
+
"learning_rate": 2e-05,
|
206 |
+
"loss": 3.8929,
|
207 |
+
"step": 39000
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.10712061119582308,
|
211 |
+
"grad_norm": 1.812050223350525,
|
212 |
+
"learning_rate": 2e-05,
|
213 |
+
"loss": 3.8788,
|
214 |
+
"step": 40500
|
215 |
+
},
|
216 |
+
{
|
217 |
+
"epoch": 0.11108804124011283,
|
218 |
+
"grad_norm": 1.7102704048156738,
|
219 |
+
"learning_rate": 2e-05,
|
220 |
+
"loss": 3.8753,
|
221 |
+
"step": 42000
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 0.11505547128440258,
|
225 |
+
"grad_norm": 1.408778190612793,
|
226 |
+
"learning_rate": 2e-05,
|
227 |
+
"loss": 3.8705,
|
228 |
+
"step": 43500
|
229 |
+
},
|
230 |
+
{
|
231 |
+
"epoch": 0.11902290132869232,
|
232 |
+
"grad_norm": 1.8378455638885498,
|
233 |
+
"learning_rate": 2e-05,
|
234 |
+
"loss": 3.8678,
|
235 |
+
"step": 45000
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 0.11902290132869232,
|
239 |
+
"eval_loss": 3.851247787475586,
|
240 |
+
"eval_runtime": 509.1413,
|
241 |
+
"eval_samples_per_second": 131.223,
|
242 |
+
"eval_steps_per_second": 32.806,
|
243 |
+
"step": 45000
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 0.12299033137298207,
|
247 |
+
"grad_norm": 1.7914859056472778,
|
248 |
+
"learning_rate": 2e-05,
|
249 |
+
"loss": 3.864,
|
250 |
+
"step": 46500
|
251 |
+
},
|
252 |
+
{
|
253 |
+
"epoch": 0.1269577614172718,
|
254 |
+
"grad_norm": 1.6122477054595947,
|
255 |
+
"learning_rate": 2e-05,
|
256 |
+
"loss": 3.8561,
|
257 |
+
"step": 48000
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 0.13092519146156156,
|
261 |
+
"grad_norm": 1.827723741531372,
|
262 |
+
"learning_rate": 2e-05,
|
263 |
+
"loss": 3.8639,
|
264 |
+
"step": 49500
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 0.1348926215058513,
|
268 |
+
"grad_norm": 1.9765942096710205,
|
269 |
+
"learning_rate": 2e-05,
|
270 |
+
"loss": 3.8486,
|
271 |
+
"step": 51000
|
272 |
+
},
|
273 |
+
{
|
274 |
+
"epoch": 0.13886005155014106,
|
275 |
+
"grad_norm": 1.3416199684143066,
|
276 |
+
"learning_rate": 2e-05,
|
277 |
+
"loss": 3.8514,
|
278 |
+
"step": 52500
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.1428274815944308,
|
282 |
+
"grad_norm": 2.1308629512786865,
|
283 |
+
"learning_rate": 2e-05,
|
284 |
+
"loss": 3.834,
|
285 |
+
"step": 54000
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 0.14679491163872052,
|
289 |
+
"grad_norm": 1.630344271659851,
|
290 |
+
"learning_rate": 2e-05,
|
291 |
+
"loss": 3.8438,
|
292 |
+
"step": 55500
|
293 |
+
},
|
294 |
+
{
|
295 |
+
"epoch": 0.15076234168301028,
|
296 |
+
"grad_norm": 1.311733603477478,
|
297 |
+
"learning_rate": 2e-05,
|
298 |
+
"loss": 3.8387,
|
299 |
+
"step": 57000
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 0.15472977172730001,
|
303 |
+
"grad_norm": 1.2008074522018433,
|
304 |
+
"learning_rate": 2e-05,
|
305 |
+
"loss": 3.831,
|
306 |
+
"step": 58500
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 0.15869720177158977,
|
310 |
+
"grad_norm": 1.804685115814209,
|
311 |
+
"learning_rate": 2e-05,
|
312 |
+
"loss": 3.8369,
|
313 |
+
"step": 60000
|
314 |
+
},
|
315 |
+
{
|
316 |
+
"epoch": 0.15869720177158977,
|
317 |
+
"eval_loss": 3.8154687881469727,
|
318 |
+
"eval_runtime": 509.3502,
|
319 |
+
"eval_samples_per_second": 131.169,
|
320 |
+
"eval_steps_per_second": 32.793,
|
321 |
+
"step": 60000
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 0.1626646318158795,
|
325 |
+
"grad_norm": 2.4677481651306152,
|
326 |
+
"learning_rate": 2e-05,
|
327 |
+
"loss": 3.8405,
|
328 |
+
"step": 61500
|
329 |
+
},
|
330 |
+
{
|
331 |
+
"epoch": 0.16663206186016924,
|
332 |
+
"grad_norm": 3.788940668106079,
|
333 |
+
"learning_rate": 2e-05,
|
334 |
+
"loss": 3.8371,
|
335 |
+
"step": 63000
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 0.170599491904459,
|
339 |
+
"grad_norm": 1.9231897592544556,
|
340 |
+
"learning_rate": 2e-05,
|
341 |
+
"loss": 3.8197,
|
342 |
+
"step": 64500
|
343 |
+
},
|
344 |
+
{
|
345 |
+
"epoch": 0.17456692194874873,
|
346 |
+
"grad_norm": 2.9989049434661865,
|
347 |
+
"learning_rate": 2e-05,
|
348 |
+
"loss": 3.8248,
|
349 |
+
"step": 66000
|
350 |
+
},
|
351 |
+
{
|
352 |
+
"epoch": 0.1785343519930385,
|
353 |
+
"grad_norm": 1.5718803405761719,
|
354 |
+
"learning_rate": 2e-05,
|
355 |
+
"loss": 3.818,
|
356 |
+
"step": 67500
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 0.18250178203732823,
|
360 |
+
"grad_norm": 2.03694748878479,
|
361 |
+
"learning_rate": 2e-05,
|
362 |
+
"loss": 3.8277,
|
363 |
+
"step": 69000
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 0.18646921208161796,
|
367 |
+
"grad_norm": 3.6177451610565186,
|
368 |
+
"learning_rate": 2e-05,
|
369 |
+
"loss": 3.8079,
|
370 |
+
"step": 70500
|
371 |
+
},
|
372 |
+
{
|
373 |
+
"epoch": 0.19043664212590772,
|
374 |
+
"grad_norm": 1.6187258958816528,
|
375 |
+
"learning_rate": 2e-05,
|
376 |
+
"loss": 3.8093,
|
377 |
+
"step": 72000
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 0.19440407217019745,
|
381 |
+
"grad_norm": 1.4624522924423218,
|
382 |
+
"learning_rate": 2e-05,
|
383 |
+
"loss": 3.8206,
|
384 |
+
"step": 73500
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 0.1983715022144872,
|
388 |
+
"grad_norm": 1.632415533065796,
|
389 |
+
"learning_rate": 2e-05,
|
390 |
+
"loss": 3.8037,
|
391 |
+
"step": 75000
|
392 |
+
},
|
393 |
+
{
|
394 |
+
"epoch": 0.1983715022144872,
|
395 |
+
"eval_loss": 3.787764072418213,
|
396 |
+
"eval_runtime": 515.1464,
|
397 |
+
"eval_samples_per_second": 129.693,
|
398 |
+
"eval_steps_per_second": 32.424,
|
399 |
+
"step": 75000
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 0.20233893225877694,
|
403 |
+
"grad_norm": 1.420238971710205,
|
404 |
+
"learning_rate": 2e-05,
|
405 |
+
"loss": 3.8085,
|
406 |
+
"step": 76500
|
407 |
+
},
|
408 |
+
{
|
409 |
+
"epoch": 0.2063063623030667,
|
410 |
+
"grad_norm": 1.5415395498275757,
|
411 |
+
"learning_rate": 2e-05,
|
412 |
+
"loss": 3.8071,
|
413 |
+
"step": 78000
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 0.21027379234735644,
|
417 |
+
"grad_norm": 1.9765852689743042,
|
418 |
+
"learning_rate": 2e-05,
|
419 |
+
"loss": 3.797,
|
420 |
+
"step": 79500
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 0.21424122239164617,
|
424 |
+
"grad_norm": 2.0840232372283936,
|
425 |
+
"learning_rate": 2e-05,
|
426 |
+
"loss": 3.7955,
|
427 |
+
"step": 81000
|
428 |
+
},
|
429 |
+
{
|
430 |
+
"epoch": 0.21820865243593593,
|
431 |
+
"grad_norm": 1.6770437955856323,
|
432 |
+
"learning_rate": 2e-05,
|
433 |
+
"loss": 3.7961,
|
434 |
+
"step": 82500
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 0.22217608248022566,
|
438 |
+
"grad_norm": 2.207707166671753,
|
439 |
+
"learning_rate": 2e-05,
|
440 |
+
"loss": 3.7832,
|
441 |
+
"step": 84000
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 0.22614351252451542,
|
445 |
+
"grad_norm": 1.7404212951660156,
|
446 |
+
"learning_rate": 2e-05,
|
447 |
+
"loss": 3.7895,
|
448 |
+
"step": 85500
|
449 |
+
},
|
450 |
+
{
|
451 |
+
"epoch": 0.23011094256880515,
|
452 |
+
"grad_norm": 1.492181658744812,
|
453 |
+
"learning_rate": 2e-05,
|
454 |
+
"loss": 3.7876,
|
455 |
+
"step": 87000
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 0.2340783726130949,
|
459 |
+
"grad_norm": 1.1175812482833862,
|
460 |
+
"learning_rate": 2e-05,
|
461 |
+
"loss": 3.792,
|
462 |
+
"step": 88500
|
463 |
+
},
|
464 |
+
{
|
465 |
+
"epoch": 0.23804580265738465,
|
466 |
+
"grad_norm": 1.816019892692566,
|
467 |
+
"learning_rate": 2e-05,
|
468 |
+
"loss": 3.7788,
|
469 |
+
"step": 90000
|
470 |
+
},
|
471 |
+
{
|
472 |
+
"epoch": 0.23804580265738465,
|
473 |
+
"eval_loss": 3.7638604640960693,
|
474 |
+
"eval_runtime": 517.2086,
|
475 |
+
"eval_samples_per_second": 129.176,
|
476 |
+
"eval_steps_per_second": 32.295,
|
477 |
+
"step": 90000
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 0.24201323270167438,
|
481 |
+
"grad_norm": 2.108680009841919,
|
482 |
+
"learning_rate": 2e-05,
|
483 |
+
"loss": 3.7833,
|
484 |
+
"step": 91500
|
485 |
+
},
|
486 |
+
{
|
487 |
+
"epoch": 0.24598066274596414,
|
488 |
+
"grad_norm": 1.6215394735336304,
|
489 |
+
"learning_rate": 2e-05,
|
490 |
+
"loss": 3.7684,
|
491 |
+
"step": 93000
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 0.24994809279025387,
|
495 |
+
"grad_norm": 1.3144052028656006,
|
496 |
+
"learning_rate": 2e-05,
|
497 |
+
"loss": 3.7716,
|
498 |
+
"step": 94500
|
499 |
+
},
|
500 |
+
{
|
501 |
+
"epoch": 0.2539155228345436,
|
502 |
+
"grad_norm": 1.788275957107544,
|
503 |
+
"learning_rate": 2e-05,
|
504 |
+
"loss": 3.7698,
|
505 |
+
"step": 96000
|
506 |
+
},
|
507 |
+
{
|
508 |
+
"epoch": 0.25788295287883334,
|
509 |
+
"grad_norm": 2.0639145374298096,
|
510 |
+
"learning_rate": 2e-05,
|
511 |
+
"loss": 3.7684,
|
512 |
+
"step": 97500
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 0.2618503829231231,
|
516 |
+
"grad_norm": 1.38687002658844,
|
517 |
+
"learning_rate": 2e-05,
|
518 |
+
"loss": 3.7696,
|
519 |
+
"step": 99000
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 0.26581781296741286,
|
523 |
+
"grad_norm": 1.4817004203796387,
|
524 |
+
"learning_rate": 2e-05,
|
525 |
+
"loss": 3.7673,
|
526 |
+
"step": 100500
|
527 |
+
},
|
528 |
+
{
|
529 |
+
"epoch": 0.2697852430117026,
|
530 |
+
"grad_norm": 1.7259806394577026,
|
531 |
+
"learning_rate": 2e-05,
|
532 |
+
"loss": 3.7602,
|
533 |
+
"step": 102000
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 0.2737526730559923,
|
537 |
+
"grad_norm": 1.340493083000183,
|
538 |
+
"learning_rate": 2e-05,
|
539 |
+
"loss": 3.7514,
|
540 |
+
"step": 103500
|
541 |
+
},
|
542 |
+
{
|
543 |
+
"epoch": 0.2777201031002821,
|
544 |
+
"grad_norm": 2.0217068195343018,
|
545 |
+
"learning_rate": 2e-05,
|
546 |
+
"loss": 3.7618,
|
547 |
+
"step": 105000
|
548 |
+
},
|
549 |
+
{
|
550 |
+
"epoch": 0.2777201031002821,
|
551 |
+
"eval_loss": 3.743399143218994,
|
552 |
+
"eval_runtime": 527.3734,
|
553 |
+
"eval_samples_per_second": 126.686,
|
554 |
+
"eval_steps_per_second": 31.672,
|
555 |
+
"step": 105000
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.28168753314457184,
|
559 |
+
"grad_norm": 1.1739765405654907,
|
560 |
+
"learning_rate": 2e-05,
|
561 |
+
"loss": 3.7599,
|
562 |
+
"step": 106500
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.2856549631888616,
|
566 |
+
"grad_norm": 1.692695140838623,
|
567 |
+
"learning_rate": 2e-05,
|
568 |
+
"loss": 3.7447,
|
569 |
+
"step": 108000
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.2896223932331513,
|
573 |
+
"grad_norm": 1.8593926429748535,
|
574 |
+
"learning_rate": 2e-05,
|
575 |
+
"loss": 3.7533,
|
576 |
+
"step": 109500
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.29358982327744104,
|
580 |
+
"grad_norm": 2.278003454208374,
|
581 |
+
"learning_rate": 2e-05,
|
582 |
+
"loss": 3.7555,
|
583 |
+
"step": 111000
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.29755725332173083,
|
587 |
+
"grad_norm": 1.2629317045211792,
|
588 |
+
"learning_rate": 2e-05,
|
589 |
+
"loss": 3.7502,
|
590 |
+
"step": 112500
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.30152468336602056,
|
594 |
+
"grad_norm": 1.8427543640136719,
|
595 |
+
"learning_rate": 2e-05,
|
596 |
+
"loss": 3.7669,
|
597 |
+
"step": 114000
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.3054921134103103,
|
601 |
+
"grad_norm": 2.1399271488189697,
|
602 |
+
"learning_rate": 2e-05,
|
603 |
+
"loss": 3.7441,
|
604 |
+
"step": 115500
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.30945954345460003,
|
608 |
+
"grad_norm": 1.726097822189331,
|
609 |
+
"learning_rate": 2e-05,
|
610 |
+
"loss": 3.7413,
|
611 |
+
"step": 117000
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.31342697349888976,
|
615 |
+
"grad_norm": 2.9889960289001465,
|
616 |
+
"learning_rate": 2e-05,
|
617 |
+
"loss": 3.7435,
|
618 |
+
"step": 118500
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.31739440354317955,
|
622 |
+
"grad_norm": 1.6429541110992432,
|
623 |
+
"learning_rate": 2e-05,
|
624 |
+
"loss": 3.7321,
|
625 |
+
"step": 120000
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.31739440354317955,
|
629 |
+
"eval_loss": 3.725595235824585,
|
630 |
+
"eval_runtime": 507.8039,
|
631 |
+
"eval_samples_per_second": 131.568,
|
632 |
+
"eval_steps_per_second": 32.893,
|
633 |
+
"step": 120000
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 0.3213618335874693,
|
637 |
+
"grad_norm": 1.523931622505188,
|
638 |
+
"learning_rate": 2e-05,
|
639 |
+
"loss": 3.7449,
|
640 |
+
"step": 121500
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 0.325329263631759,
|
644 |
+
"grad_norm": 1.1351861953735352,
|
645 |
+
"learning_rate": 2e-05,
|
646 |
+
"loss": 3.74,
|
647 |
+
"step": 123000
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 0.32929669367604875,
|
651 |
+
"grad_norm": 1.9448051452636719,
|
652 |
+
"learning_rate": 2e-05,
|
653 |
+
"loss": 3.738,
|
654 |
+
"step": 124500
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 0.3332641237203385,
|
658 |
+
"grad_norm": 2.2584104537963867,
|
659 |
+
"learning_rate": 2e-05,
|
660 |
+
"loss": 3.7349,
|
661 |
+
"step": 126000
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 0.33723155376462827,
|
665 |
+
"grad_norm": 1.9008771181106567,
|
666 |
+
"learning_rate": 2e-05,
|
667 |
+
"loss": 3.7294,
|
668 |
+
"step": 127500
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 0.341198983808918,
|
672 |
+
"grad_norm": 1.5307859182357788,
|
673 |
+
"learning_rate": 2e-05,
|
674 |
+
"loss": 3.7374,
|
675 |
+
"step": 129000
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 0.34516641385320773,
|
679 |
+
"grad_norm": 1.4004909992218018,
|
680 |
+
"learning_rate": 2e-05,
|
681 |
+
"loss": 3.739,
|
682 |
+
"step": 130500
|
683 |
+
},
|
684 |
+
{
|
685 |
+
"epoch": 0.34913384389749746,
|
686 |
+
"grad_norm": 2.54671573638916,
|
687 |
+
"learning_rate": 2e-05,
|
688 |
+
"loss": 3.7185,
|
689 |
+
"step": 132000
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 0.3531012739417872,
|
693 |
+
"grad_norm": 1.5276941061019897,
|
694 |
+
"learning_rate": 2e-05,
|
695 |
+
"loss": 3.7359,
|
696 |
+
"step": 133500
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 0.357068703986077,
|
700 |
+
"grad_norm": 1.8586397171020508,
|
701 |
+
"learning_rate": 2e-05,
|
702 |
+
"loss": 3.7275,
|
703 |
+
"step": 135000
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"epoch": 0.357068703986077,
|
707 |
+
"eval_loss": 3.708439826965332,
|
708 |
+
"eval_runtime": 508.0774,
|
709 |
+
"eval_samples_per_second": 131.498,
|
710 |
+
"eval_steps_per_second": 32.875,
|
711 |
+
"step": 135000
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 0.3610361340303667,
|
715 |
+
"grad_norm": 1.7233084440231323,
|
716 |
+
"learning_rate": 2e-05,
|
717 |
+
"loss": 3.7294,
|
718 |
+
"step": 136500
|
719 |
+
},
|
720 |
+
{
|
721 |
+
"epoch": 0.36500356407465645,
|
722 |
+
"grad_norm": 1.4811041355133057,
|
723 |
+
"learning_rate": 2e-05,
|
724 |
+
"loss": 3.7377,
|
725 |
+
"step": 138000
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 0.3689709941189462,
|
729 |
+
"grad_norm": 1.778673768043518,
|
730 |
+
"learning_rate": 2e-05,
|
731 |
+
"loss": 3.7252,
|
732 |
+
"step": 139500
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 0.3729384241632359,
|
736 |
+
"grad_norm": 1.6126329898834229,
|
737 |
+
"learning_rate": 2e-05,
|
738 |
+
"loss": 3.7139,
|
739 |
+
"step": 141000
|
740 |
+
},
|
741 |
+
{
|
742 |
+
"epoch": 0.3769058542075257,
|
743 |
+
"grad_norm": 1.7368344068527222,
|
744 |
+
"learning_rate": 2e-05,
|
745 |
+
"loss": 3.7165,
|
746 |
+
"step": 142500
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 0.38087328425181544,
|
750 |
+
"grad_norm": 1.5401374101638794,
|
751 |
+
"learning_rate": 2e-05,
|
752 |
+
"loss": 3.7141,
|
753 |
+
"step": 144000
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 0.38484071429610517,
|
757 |
+
"grad_norm": 1.4228651523590088,
|
758 |
+
"learning_rate": 2e-05,
|
759 |
+
"loss": 3.7132,
|
760 |
+
"step": 145500
|
761 |
+
},
|
762 |
+
{
|
763 |
+
"epoch": 0.3888081443403949,
|
764 |
+
"grad_norm": 1.5804122686386108,
|
765 |
+
"learning_rate": 2e-05,
|
766 |
+
"loss": 3.7199,
|
767 |
+
"step": 147000
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 0.3927755743846847,
|
771 |
+
"grad_norm": 1.7531423568725586,
|
772 |
+
"learning_rate": 2e-05,
|
773 |
+
"loss": 3.7251,
|
774 |
+
"step": 148500
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 0.3967430044289744,
|
778 |
+
"grad_norm": 2.62064528465271,
|
779 |
+
"learning_rate": 2e-05,
|
780 |
+
"loss": 3.7075,
|
781 |
+
"step": 150000
|
782 |
+
},
|
783 |
+
{
|
784 |
+
"epoch": 0.3967430044289744,
|
785 |
+
"eval_loss": 3.693021535873413,
|
786 |
+
"eval_runtime": 508.4788,
|
787 |
+
"eval_samples_per_second": 131.394,
|
788 |
+
"eval_steps_per_second": 32.849,
|
789 |
+
"step": 150000
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 0.40071043447326415,
|
793 |
+
"grad_norm": 2.2958357334136963,
|
794 |
+
"learning_rate": 2e-05,
|
795 |
+
"loss": 3.7145,
|
796 |
+
"step": 151500
|
797 |
+
},
|
798 |
+
{
|
799 |
+
"epoch": 0.4046778645175539,
|
800 |
+
"grad_norm": 1.2222336530685425,
|
801 |
+
"learning_rate": 2e-05,
|
802 |
+
"loss": 3.7229,
|
803 |
+
"step": 153000
|
804 |
+
},
|
805 |
+
{
|
806 |
+
"epoch": 0.4086452945618436,
|
807 |
+
"grad_norm": 1.8726732730865479,
|
808 |
+
"learning_rate": 2e-05,
|
809 |
+
"loss": 3.7075,
|
810 |
+
"step": 154500
|
811 |
+
},
|
812 |
+
{
|
813 |
+
"epoch": 0.4126127246061334,
|
814 |
+
"grad_norm": 2.425828218460083,
|
815 |
+
"learning_rate": 2e-05,
|
816 |
+
"loss": 3.7002,
|
817 |
+
"step": 156000
|
818 |
+
},
|
819 |
+
{
|
820 |
+
"epoch": 0.41658015465042314,
|
821 |
+
"grad_norm": 1.6482657194137573,
|
822 |
+
"learning_rate": 2e-05,
|
823 |
+
"loss": 3.7024,
|
824 |
+
"step": 157500
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 0.4205475846947129,
|
828 |
+
"grad_norm": 2.0351409912109375,
|
829 |
+
"learning_rate": 2e-05,
|
830 |
+
"loss": 3.7079,
|
831 |
+
"step": 159000
|
832 |
+
},
|
833 |
+
{
|
834 |
+
"epoch": 0.4245150147390026,
|
835 |
+
"grad_norm": 1.5541174411773682,
|
836 |
+
"learning_rate": 2e-05,
|
837 |
+
"loss": 3.6976,
|
838 |
+
"step": 160500
|
839 |
+
},
|
840 |
+
{
|
841 |
+
"epoch": 0.42848244478329234,
|
842 |
+
"grad_norm": 2.035759687423706,
|
843 |
+
"learning_rate": 2e-05,
|
844 |
+
"loss": 3.6955,
|
845 |
+
"step": 162000
|
846 |
+
},
|
847 |
+
{
|
848 |
+
"epoch": 0.4324498748275821,
|
849 |
+
"grad_norm": 2.4348483085632324,
|
850 |
+
"learning_rate": 2e-05,
|
851 |
+
"loss": 3.6893,
|
852 |
+
"step": 163500
|
853 |
+
},
|
854 |
+
{
|
855 |
+
"epoch": 0.43641730487187186,
|
856 |
+
"grad_norm": 2.0152392387390137,
|
857 |
+
"learning_rate": 2e-05,
|
858 |
+
"loss": 3.6942,
|
859 |
+
"step": 165000
|
860 |
+
},
|
861 |
+
{
|
862 |
+
"epoch": 0.43641730487187186,
|
863 |
+
"eval_loss": 3.679271697998047,
|
864 |
+
"eval_runtime": 508.381,
|
865 |
+
"eval_samples_per_second": 131.419,
|
866 |
+
"eval_steps_per_second": 32.855,
|
867 |
+
"step": 165000
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"epoch": 0.4403847349161616,
|
871 |
+
"grad_norm": 2.1153664588928223,
|
872 |
+
"learning_rate": 2e-05,
|
873 |
+
"loss": 3.6959,
|
874 |
+
"step": 166500
|
875 |
+
},
|
876 |
+
{
|
877 |
+
"epoch": 0.4443521649604513,
|
878 |
+
"grad_norm": 1.2098298072814941,
|
879 |
+
"learning_rate": 2e-05,
|
880 |
+
"loss": 3.6839,
|
881 |
+
"step": 168000
|
882 |
+
},
|
883 |
+
{
|
884 |
+
"epoch": 0.44831959500474106,
|
885 |
+
"grad_norm": 2.01379132270813,
|
886 |
+
"learning_rate": 2e-05,
|
887 |
+
"loss": 3.687,
|
888 |
+
"step": 169500
|
889 |
+
},
|
890 |
+
{
|
891 |
+
"epoch": 0.45228702504903084,
|
892 |
+
"grad_norm": 1.823215365409851,
|
893 |
+
"learning_rate": 2e-05,
|
894 |
+
"loss": 3.6932,
|
895 |
+
"step": 171000
|
896 |
+
},
|
897 |
+
{
|
898 |
+
"epoch": 0.4562544550933206,
|
899 |
+
"grad_norm": 2.030813694000244,
|
900 |
+
"learning_rate": 2e-05,
|
901 |
+
"loss": 3.6907,
|
902 |
+
"step": 172500
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 0.4602218851376103,
|
906 |
+
"grad_norm": 1.4791704416275024,
|
907 |
+
"learning_rate": 2e-05,
|
908 |
+
"loss": 3.6929,
|
909 |
+
"step": 174000
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 0.46418931518190004,
|
913 |
+
"grad_norm": 1.747860312461853,
|
914 |
+
"learning_rate": 2e-05,
|
915 |
+
"loss": 3.6912,
|
916 |
+
"step": 175500
|
917 |
+
},
|
918 |
+
{
|
919 |
+
"epoch": 0.4681567452261898,
|
920 |
+
"grad_norm": 1.837263584136963,
|
921 |
+
"learning_rate": 2e-05,
|
922 |
+
"loss": 3.6975,
|
923 |
+
"step": 177000
|
924 |
+
},
|
925 |
+
{
|
926 |
+
"epoch": 0.47212417527047956,
|
927 |
+
"grad_norm": 1.7791885137557983,
|
928 |
+
"learning_rate": 2e-05,
|
929 |
+
"loss": 3.687,
|
930 |
+
"step": 178500
|
931 |
+
},
|
932 |
+
{
|
933 |
+
"epoch": 0.4760916053147693,
|
934 |
+
"grad_norm": 1.7485198974609375,
|
935 |
+
"learning_rate": 2e-05,
|
936 |
+
"loss": 3.6875,
|
937 |
+
"step": 180000
|
938 |
+
},
|
939 |
+
{
|
940 |
+
"epoch": 0.4760916053147693,
|
941 |
+
"eval_loss": 3.666386127471924,
|
942 |
+
"eval_runtime": 508.5011,
|
943 |
+
"eval_samples_per_second": 131.388,
|
944 |
+
"eval_steps_per_second": 32.848,
|
945 |
+
"step": 180000
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 0.480059035359059,
|
949 |
+
"grad_norm": 1.6664392948150635,
|
950 |
+
"learning_rate": 2e-05,
|
951 |
+
"loss": 3.6763,
|
952 |
+
"step": 181500
|
953 |
+
},
|
954 |
+
{
|
955 |
+
"epoch": 0.48402646540334876,
|
956 |
+
"grad_norm": 1.7725111246109009,
|
957 |
+
"learning_rate": 2e-05,
|
958 |
+
"loss": 3.6824,
|
959 |
+
"step": 183000
|
960 |
+
},
|
961 |
+
{
|
962 |
+
"epoch": 0.4879938954476385,
|
963 |
+
"grad_norm": 2.1763925552368164,
|
964 |
+
"learning_rate": 2e-05,
|
965 |
+
"loss": 3.6885,
|
966 |
+
"step": 184500
|
967 |
+
},
|
968 |
+
{
|
969 |
+
"epoch": 0.4919613254919283,
|
970 |
+
"grad_norm": 1.492720603942871,
|
971 |
+
"learning_rate": 2e-05,
|
972 |
+
"loss": 3.6825,
|
973 |
+
"step": 186000
|
974 |
+
},
|
975 |
+
{
|
976 |
+
"epoch": 0.495928755536218,
|
977 |
+
"grad_norm": 1.365192174911499,
|
978 |
+
"learning_rate": 2e-05,
|
979 |
+
"loss": 3.6879,
|
980 |
+
"step": 187500
|
981 |
+
},
|
982 |
+
{
|
983 |
+
"epoch": 0.49989618558050775,
|
984 |
+
"grad_norm": 1.8424572944641113,
|
985 |
+
"learning_rate": 2e-05,
|
986 |
+
"loss": 3.6825,
|
987 |
+
"step": 189000
|
988 |
+
},
|
989 |
+
{
|
990 |
+
"epoch": 0.5038636156247975,
|
991 |
+
"grad_norm": 1.6156889200210571,
|
992 |
+
"learning_rate": 2e-05,
|
993 |
+
"loss": 3.6819,
|
994 |
+
"step": 190500
|
995 |
+
},
|
996 |
+
{
|
997 |
+
"epoch": 0.5078310456690872,
|
998 |
+
"grad_norm": 1.3726621866226196,
|
999 |
+
"learning_rate": 2e-05,
|
1000 |
+
"loss": 3.6766,
|
1001 |
+
"step": 192000
|
1002 |
+
},
|
1003 |
+
{
|
1004 |
+
"epoch": 0.511798475713377,
|
1005 |
+
"grad_norm": 1.5357227325439453,
|
1006 |
+
"learning_rate": 2e-05,
|
1007 |
+
"loss": 3.6686,
|
1008 |
+
"step": 193500
|
1009 |
+
},
|
1010 |
+
{
|
1011 |
+
"epoch": 0.5157659057576667,
|
1012 |
+
"grad_norm": 1.6667983531951904,
|
1013 |
+
"learning_rate": 2e-05,
|
1014 |
+
"loss": 3.673,
|
1015 |
+
"step": 195000
|
1016 |
+
},
|
1017 |
+
{
|
1018 |
+
"epoch": 0.5157659057576667,
|
1019 |
+
"eval_loss": 3.6544015407562256,
|
1020 |
+
"eval_runtime": 508.3154,
|
1021 |
+
"eval_samples_per_second": 131.436,
|
1022 |
+
"eval_steps_per_second": 32.86,
|
1023 |
+
"step": 195000
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 0.5197333358019565,
|
1027 |
+
"grad_norm": 1.6955657005310059,
|
1028 |
+
"learning_rate": 2e-05,
|
1029 |
+
"loss": 3.6681,
|
1030 |
+
"step": 196500
|
1031 |
+
},
|
1032 |
+
{
|
1033 |
+
"epoch": 0.5237007658462463,
|
1034 |
+
"grad_norm": 2.2115893363952637,
|
1035 |
+
"learning_rate": 2e-05,
|
1036 |
+
"loss": 3.6631,
|
1037 |
+
"step": 198000
|
1038 |
+
},
|
1039 |
+
{
|
1040 |
+
"epoch": 0.5276681958905359,
|
1041 |
+
"grad_norm": 1.6372627019882202,
|
1042 |
+
"learning_rate": 2e-05,
|
1043 |
+
"loss": 3.6663,
|
1044 |
+
"step": 199500
|
1045 |
+
},
|
1046 |
+
{
|
1047 |
+
"epoch": 0.5316356259348257,
|
1048 |
+
"grad_norm": 1.719591498374939,
|
1049 |
+
"learning_rate": 2e-05,
|
1050 |
+
"loss": 3.6668,
|
1051 |
+
"step": 201000
|
1052 |
+
},
|
1053 |
+
{
|
1054 |
+
"epoch": 0.5356030559791154,
|
1055 |
+
"grad_norm": 1.9526976346969604,
|
1056 |
+
"learning_rate": 2e-05,
|
1057 |
+
"loss": 3.6614,
|
1058 |
+
"step": 202500
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 0.5395704860234052,
|
1062 |
+
"grad_norm": 1.4962718486785889,
|
1063 |
+
"learning_rate": 2e-05,
|
1064 |
+
"loss": 3.6541,
|
1065 |
+
"step": 204000
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 0.543537916067695,
|
1069 |
+
"grad_norm": 1.552954077720642,
|
1070 |
+
"learning_rate": 2e-05,
|
1071 |
+
"loss": 3.667,
|
1072 |
+
"step": 205500
|
1073 |
+
},
|
1074 |
+
{
|
1075 |
+
"epoch": 0.5475053461119846,
|
1076 |
+
"grad_norm": 2.0610477924346924,
|
1077 |
+
"learning_rate": 2e-05,
|
1078 |
+
"loss": 3.6551,
|
1079 |
+
"step": 207000
|
1080 |
+
},
|
1081 |
+
{
|
1082 |
+
"epoch": 0.5514727761562744,
|
1083 |
+
"grad_norm": 1.989310383796692,
|
1084 |
+
"learning_rate": 2e-05,
|
1085 |
+
"loss": 3.6638,
|
1086 |
+
"step": 208500
|
1087 |
+
},
|
1088 |
+
{
|
1089 |
+
"epoch": 0.5554402062005642,
|
1090 |
+
"grad_norm": 1.2716268301010132,
|
1091 |
+
"learning_rate": 2e-05,
|
1092 |
+
"loss": 3.6599,
|
1093 |
+
"step": 210000
|
1094 |
+
},
|
1095 |
+
{
|
1096 |
+
"epoch": 0.5554402062005642,
|
1097 |
+
"eval_loss": 3.6426613330841064,
|
1098 |
+
"eval_runtime": 508.1725,
|
1099 |
+
"eval_samples_per_second": 131.473,
|
1100 |
+
"eval_steps_per_second": 32.869,
|
1101 |
+
"step": 210000
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.5594076362448539,
|
1105 |
+
"grad_norm": 1.81135892868042,
|
1106 |
+
"learning_rate": 2e-05,
|
1107 |
+
"loss": 3.6569,
|
1108 |
+
"step": 211500
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.5633750662891437,
|
1112 |
+
"grad_norm": 1.3680062294006348,
|
1113 |
+
"learning_rate": 2e-05,
|
1114 |
+
"loss": 3.6584,
|
1115 |
+
"step": 213000
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.5673424963334334,
|
1119 |
+
"grad_norm": 1.6358596086502075,
|
1120 |
+
"learning_rate": 2e-05,
|
1121 |
+
"loss": 3.6474,
|
1122 |
+
"step": 214500
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.5713099263777232,
|
1126 |
+
"grad_norm": 1.3548320531845093,
|
1127 |
+
"learning_rate": 2e-05,
|
1128 |
+
"loss": 3.6492,
|
1129 |
+
"step": 216000
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.5752773564220129,
|
1133 |
+
"grad_norm": 1.5863239765167236,
|
1134 |
+
"learning_rate": 2e-05,
|
1135 |
+
"loss": 3.6549,
|
1136 |
+
"step": 217500
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.5792447864663026,
|
1140 |
+
"grad_norm": 1.269634485244751,
|
1141 |
+
"learning_rate": 2e-05,
|
1142 |
+
"loss": 3.6405,
|
1143 |
+
"step": 219000
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.5832122165105924,
|
1147 |
+
"grad_norm": 1.405115008354187,
|
1148 |
+
"learning_rate": 2e-05,
|
1149 |
+
"loss": 3.6517,
|
1150 |
+
"step": 220500
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.5871796465548821,
|
1154 |
+
"grad_norm": 1.9946074485778809,
|
1155 |
+
"learning_rate": 2e-05,
|
1156 |
+
"loss": 3.6555,
|
1157 |
+
"step": 222000
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.5911470765991719,
|
1161 |
+
"grad_norm": 1.3142012357711792,
|
1162 |
+
"learning_rate": 2e-05,
|
1163 |
+
"loss": 3.6596,
|
1164 |
+
"step": 223500
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.5951145066434617,
|
1168 |
+
"grad_norm": 2.1748433113098145,
|
1169 |
+
"learning_rate": 2e-05,
|
1170 |
+
"loss": 3.6562,
|
1171 |
+
"step": 225000
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.5951145066434617,
|
1175 |
+
"eval_loss": 3.6325650215148926,
|
1176 |
+
"eval_runtime": 508.3225,
|
1177 |
+
"eval_samples_per_second": 131.434,
|
1178 |
+
"eval_steps_per_second": 32.859,
|
1179 |
+
"step": 225000
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 0.5990819366877513,
|
1183 |
+
"grad_norm": 1.736243724822998,
|
1184 |
+
"learning_rate": 2e-05,
|
1185 |
+
"loss": 3.6535,
|
1186 |
+
"step": 226500
|
1187 |
+
},
|
1188 |
+
{
|
1189 |
+
"epoch": 0.6030493667320411,
|
1190 |
+
"grad_norm": 1.4503512382507324,
|
1191 |
+
"learning_rate": 2e-05,
|
1192 |
+
"loss": 3.6472,
|
1193 |
+
"step": 228000
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"epoch": 0.6070167967763308,
|
1197 |
+
"grad_norm": 1.7718149423599243,
|
1198 |
+
"learning_rate": 2e-05,
|
1199 |
+
"loss": 3.652,
|
1200 |
+
"step": 229500
|
1201 |
+
},
|
1202 |
+
{
|
1203 |
+
"epoch": 0.6109842268206206,
|
1204 |
+
"grad_norm": 1.7987645864486694,
|
1205 |
+
"learning_rate": 2e-05,
|
1206 |
+
"loss": 3.6393,
|
1207 |
+
"step": 231000
|
1208 |
+
},
|
1209 |
+
{
|
1210 |
+
"epoch": 0.6149516568649104,
|
1211 |
+
"grad_norm": 2.3214948177337646,
|
1212 |
+
"learning_rate": 2e-05,
|
1213 |
+
"loss": 3.6552,
|
1214 |
+
"step": 232500
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 0.6189190869092001,
|
1218 |
+
"grad_norm": 1.3199760913848877,
|
1219 |
+
"learning_rate": 2e-05,
|
1220 |
+
"loss": 3.6537,
|
1221 |
+
"step": 234000
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 0.6228865169534898,
|
1225 |
+
"grad_norm": 2.081068992614746,
|
1226 |
+
"learning_rate": 2e-05,
|
1227 |
+
"loss": 3.6401,
|
1228 |
+
"step": 235500
|
1229 |
+
},
|
1230 |
+
{
|
1231 |
+
"epoch": 0.6268539469977795,
|
1232 |
+
"grad_norm": 1.275061845779419,
|
1233 |
+
"learning_rate": 2e-05,
|
1234 |
+
"loss": 3.6443,
|
1235 |
+
"step": 237000
|
1236 |
+
},
|
1237 |
+
{
|
1238 |
+
"epoch": 0.6308213770420693,
|
1239 |
+
"grad_norm": 1.7260355949401855,
|
1240 |
+
"learning_rate": 2e-05,
|
1241 |
+
"loss": 3.6342,
|
1242 |
+
"step": 238500
|
1243 |
+
},
|
1244 |
+
{
|
1245 |
+
"epoch": 0.6347888070863591,
|
1246 |
+
"grad_norm": 1.4915698766708374,
|
1247 |
+
"learning_rate": 2e-05,
|
1248 |
+
"loss": 3.6409,
|
1249 |
+
"step": 240000
|
1250 |
+
},
|
1251 |
+
{
|
1252 |
+
"epoch": 0.6347888070863591,
|
1253 |
+
"eval_loss": 3.6224632263183594,
|
1254 |
+
"eval_runtime": 509.0689,
|
1255 |
+
"eval_samples_per_second": 131.242,
|
1256 |
+
"eval_steps_per_second": 32.811,
|
1257 |
+
"step": 240000
|
1258 |
+
},
|
1259 |
+
{
|
1260 |
+
"epoch": 0.6387562371306488,
|
1261 |
+
"grad_norm": 2.0755701065063477,
|
1262 |
+
"learning_rate": 2e-05,
|
1263 |
+
"loss": 3.6467,
|
1264 |
+
"step": 241500
|
1265 |
+
},
|
1266 |
+
{
|
1267 |
+
"epoch": 0.6427236671749386,
|
1268 |
+
"grad_norm": 1.1929559707641602,
|
1269 |
+
"learning_rate": 2e-05,
|
1270 |
+
"loss": 3.6437,
|
1271 |
+
"step": 243000
|
1272 |
+
},
|
1273 |
+
{
|
1274 |
+
"epoch": 0.6466910972192282,
|
1275 |
+
"grad_norm": 1.8279653787612915,
|
1276 |
+
"learning_rate": 2e-05,
|
1277 |
+
"loss": 3.6362,
|
1278 |
+
"step": 244500
|
1279 |
+
},
|
1280 |
+
{
|
1281 |
+
"epoch": 0.650658527263518,
|
1282 |
+
"grad_norm": 2.0271174907684326,
|
1283 |
+
"learning_rate": 2e-05,
|
1284 |
+
"loss": 3.6278,
|
1285 |
+
"step": 246000
|
1286 |
+
},
|
1287 |
+
{
|
1288 |
+
"epoch": 0.6546259573078078,
|
1289 |
+
"grad_norm": 2.5957841873168945,
|
1290 |
+
"learning_rate": 2e-05,
|
1291 |
+
"loss": 3.6292,
|
1292 |
+
"step": 247500
|
1293 |
+
},
|
1294 |
+
{
|
1295 |
+
"epoch": 0.6585933873520975,
|
1296 |
+
"grad_norm": 1.8614776134490967,
|
1297 |
+
"learning_rate": 2e-05,
|
1298 |
+
"loss": 3.6334,
|
1299 |
+
"step": 249000
|
1300 |
+
},
|
1301 |
+
{
|
1302 |
+
"epoch": 0.6625608173963873,
|
1303 |
+
"grad_norm": 1.9923863410949707,
|
1304 |
+
"learning_rate": 2e-05,
|
1305 |
+
"loss": 3.6389,
|
1306 |
+
"step": 250500
|
1307 |
+
},
|
1308 |
+
{
|
1309 |
+
"epoch": 0.666528247440677,
|
1310 |
+
"grad_norm": 1.719926357269287,
|
1311 |
+
"learning_rate": 2e-05,
|
1312 |
+
"loss": 3.6319,
|
1313 |
+
"step": 252000
|
1314 |
+
},
|
1315 |
+
{
|
1316 |
+
"epoch": 0.6704956774849667,
|
1317 |
+
"grad_norm": 1.542592167854309,
|
1318 |
+
"learning_rate": 2e-05,
|
1319 |
+
"loss": 3.6308,
|
1320 |
+
"step": 253500
|
1321 |
+
},
|
1322 |
+
{
|
1323 |
+
"epoch": 0.6744631075292565,
|
1324 |
+
"grad_norm": 1.6688200235366821,
|
1325 |
+
"learning_rate": 2e-05,
|
1326 |
+
"loss": 3.6306,
|
1327 |
+
"step": 255000
|
1328 |
+
},
|
1329 |
+
{
|
1330 |
+
"epoch": 0.6744631075292565,
|
1331 |
+
"eval_loss": 3.6125638484954834,
|
1332 |
+
"eval_runtime": 508.6624,
|
1333 |
+
"eval_samples_per_second": 131.346,
|
1334 |
+
"eval_steps_per_second": 32.837,
|
1335 |
+
"step": 255000
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"epoch": 0.6784305375735462,
|
1339 |
+
"grad_norm": 2.0490431785583496,
|
1340 |
+
"learning_rate": 2e-05,
|
1341 |
+
"loss": 3.6257,
|
1342 |
+
"step": 256500
|
1343 |
+
},
|
1344 |
+
{
|
1345 |
+
"epoch": 0.682397967617836,
|
1346 |
+
"grad_norm": 1.5656068325042725,
|
1347 |
+
"learning_rate": 2e-05,
|
1348 |
+
"loss": 3.6327,
|
1349 |
+
"step": 258000
|
1350 |
+
},
|
1351 |
+
{
|
1352 |
+
"epoch": 0.6863653976621257,
|
1353 |
+
"grad_norm": 1.741310715675354,
|
1354 |
+
"learning_rate": 2e-05,
|
1355 |
+
"loss": 3.624,
|
1356 |
+
"step": 259500
|
1357 |
+
},
|
1358 |
+
{
|
1359 |
+
"epoch": 0.6903328277064155,
|
1360 |
+
"grad_norm": 1.5890847444534302,
|
1361 |
+
"learning_rate": 2e-05,
|
1362 |
+
"loss": 3.631,
|
1363 |
+
"step": 261000
|
1364 |
+
},
|
1365 |
+
{
|
1366 |
+
"epoch": 0.6943002577507053,
|
1367 |
+
"grad_norm": 2.6518447399139404,
|
1368 |
+
"learning_rate": 2e-05,
|
1369 |
+
"loss": 3.6219,
|
1370 |
+
"step": 262500
|
1371 |
+
},
|
1372 |
+
{
|
1373 |
+
"epoch": 0.6982676877949949,
|
1374 |
+
"grad_norm": 1.344978928565979,
|
1375 |
+
"learning_rate": 2e-05,
|
1376 |
+
"loss": 3.637,
|
1377 |
+
"step": 264000
|
1378 |
+
},
|
1379 |
+
{
|
1380 |
+
"epoch": 0.7022351178392847,
|
1381 |
+
"grad_norm": 1.8812129497528076,
|
1382 |
+
"learning_rate": 2e-05,
|
1383 |
+
"loss": 3.6273,
|
1384 |
+
"step": 265500
|
1385 |
+
},
|
1386 |
+
{
|
1387 |
+
"epoch": 0.7062025478835744,
|
1388 |
+
"grad_norm": 1.59878408908844,
|
1389 |
+
"learning_rate": 2e-05,
|
1390 |
+
"loss": 3.6204,
|
1391 |
+
"step": 267000
|
1392 |
+
},
|
1393 |
+
{
|
1394 |
+
"epoch": 0.7101699779278642,
|
1395 |
+
"grad_norm": 2.1738855838775635,
|
1396 |
+
"learning_rate": 2e-05,
|
1397 |
+
"loss": 3.6113,
|
1398 |
+
"step": 268500
|
1399 |
+
},
|
1400 |
+
{
|
1401 |
+
"epoch": 0.714137407972154,
|
1402 |
+
"grad_norm": 1.292671799659729,
|
1403 |
+
"learning_rate": 2e-05,
|
1404 |
+
"loss": 3.6244,
|
1405 |
+
"step": 270000
|
1406 |
+
},
|
1407 |
+
{
|
1408 |
+
"epoch": 0.714137407972154,
|
1409 |
+
"eval_loss": 3.6037514209747314,
|
1410 |
+
"eval_runtime": 508.7856,
|
1411 |
+
"eval_samples_per_second": 131.315,
|
1412 |
+
"eval_steps_per_second": 32.829,
|
1413 |
+
"step": 270000
|
1414 |
+
},
|
1415 |
+
{
|
1416 |
+
"epoch": 0.7181048380164436,
|
1417 |
+
"grad_norm": 1.5464812517166138,
|
1418 |
+
"learning_rate": 2e-05,
|
1419 |
+
"loss": 3.618,
|
1420 |
+
"step": 271500
|
1421 |
+
},
|
1422 |
+
{
|
1423 |
+
"epoch": 0.7220722680607334,
|
1424 |
+
"grad_norm": 1.2013261318206787,
|
1425 |
+
"learning_rate": 2e-05,
|
1426 |
+
"loss": 3.6131,
|
1427 |
+
"step": 273000
|
1428 |
+
},
|
1429 |
+
{
|
1430 |
+
"epoch": 0.7260396981050231,
|
1431 |
+
"grad_norm": 1.424142599105835,
|
1432 |
+
"learning_rate": 2e-05,
|
1433 |
+
"loss": 3.6223,
|
1434 |
+
"step": 274500
|
1435 |
+
},
|
1436 |
+
{
|
1437 |
+
"epoch": 0.7300071281493129,
|
1438 |
+
"grad_norm": 2.2044925689697266,
|
1439 |
+
"learning_rate": 2e-05,
|
1440 |
+
"loss": 3.6141,
|
1441 |
+
"step": 276000
|
1442 |
+
},
|
1443 |
+
{
|
1444 |
+
"epoch": 0.7339745581936027,
|
1445 |
+
"grad_norm": 1.668161392211914,
|
1446 |
+
"learning_rate": 2e-05,
|
1447 |
+
"loss": 3.6179,
|
1448 |
+
"step": 277500
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 0.7379419882378924,
|
1452 |
+
"grad_norm": 2.1473095417022705,
|
1453 |
+
"learning_rate": 2e-05,
|
1454 |
+
"loss": 3.6185,
|
1455 |
+
"step": 279000
|
1456 |
+
},
|
1457 |
+
{
|
1458 |
+
"epoch": 0.7419094182821822,
|
1459 |
+
"grad_norm": 2.150111436843872,
|
1460 |
+
"learning_rate": 2e-05,
|
1461 |
+
"loss": 3.6244,
|
1462 |
+
"step": 280500
|
1463 |
+
},
|
1464 |
+
{
|
1465 |
+
"epoch": 0.7458768483264718,
|
1466 |
+
"grad_norm": 1.4405452013015747,
|
1467 |
+
"learning_rate": 2e-05,
|
1468 |
+
"loss": 3.6174,
|
1469 |
+
"step": 282000
|
1470 |
+
},
|
1471 |
+
{
|
1472 |
+
"epoch": 0.7498442783707616,
|
1473 |
+
"grad_norm": 1.622565507888794,
|
1474 |
+
"learning_rate": 2e-05,
|
1475 |
+
"loss": 3.6176,
|
1476 |
+
"step": 283500
|
1477 |
+
},
|
1478 |
+
{
|
1479 |
+
"epoch": 0.7538117084150514,
|
1480 |
+
"grad_norm": 1.6604636907577515,
|
1481 |
+
"learning_rate": 2e-05,
|
1482 |
+
"loss": 3.6026,
|
1483 |
+
"step": 285000
|
1484 |
+
},
|
1485 |
+
{
|
1486 |
+
"epoch": 0.7538117084150514,
|
1487 |
+
"eval_loss": 3.594251871109009,
|
1488 |
+
"eval_runtime": 508.3923,
|
1489 |
+
"eval_samples_per_second": 131.416,
|
1490 |
+
"eval_steps_per_second": 32.855,
|
1491 |
+
"step": 285000
|
1492 |
+
},
|
1493 |
+
{
|
1494 |
+
"epoch": 0.7577791384593411,
|
1495 |
+
"grad_norm": 1.5415109395980835,
|
1496 |
+
"learning_rate": 2e-05,
|
1497 |
+
"loss": 3.6221,
|
1498 |
+
"step": 286500
|
1499 |
+
},
|
1500 |
+
{
|
1501 |
+
"epoch": 0.7617465685036309,
|
1502 |
+
"grad_norm": 2.0804574489593506,
|
1503 |
+
"learning_rate": 2e-05,
|
1504 |
+
"loss": 3.6095,
|
1505 |
+
"step": 288000
|
1506 |
+
},
|
1507 |
+
{
|
1508 |
+
"epoch": 0.7657139985479205,
|
1509 |
+
"grad_norm": 1.6679505109786987,
|
1510 |
+
"learning_rate": 2e-05,
|
1511 |
+
"loss": 3.6175,
|
1512 |
+
"step": 289500
|
1513 |
+
},
|
1514 |
+
{
|
1515 |
+
"epoch": 0.7696814285922103,
|
1516 |
+
"grad_norm": 1.562348484992981,
|
1517 |
+
"learning_rate": 2e-05,
|
1518 |
+
"loss": 3.604,
|
1519 |
+
"step": 291000
|
1520 |
+
},
|
1521 |
+
{
|
1522 |
+
"epoch": 0.7736488586365001,
|
1523 |
+
"grad_norm": 1.4263495206832886,
|
1524 |
+
"learning_rate": 2e-05,
|
1525 |
+
"loss": 3.6253,
|
1526 |
+
"step": 292500
|
1527 |
+
},
|
1528 |
+
{
|
1529 |
+
"epoch": 0.7776162886807898,
|
1530 |
+
"grad_norm": 2.324164390563965,
|
1531 |
+
"learning_rate": 2e-05,
|
1532 |
+
"loss": 3.6093,
|
1533 |
+
"step": 294000
|
1534 |
+
},
|
1535 |
+
{
|
1536 |
+
"epoch": 0.7815837187250796,
|
1537 |
+
"grad_norm": 1.5391567945480347,
|
1538 |
+
"learning_rate": 2e-05,
|
1539 |
+
"loss": 3.5999,
|
1540 |
+
"step": 295500
|
1541 |
+
},
|
1542 |
+
{
|
1543 |
+
"epoch": 0.7855511487693694,
|
1544 |
+
"grad_norm": 1.6802319288253784,
|
1545 |
+
"learning_rate": 2e-05,
|
1546 |
+
"loss": 3.6148,
|
1547 |
+
"step": 297000
|
1548 |
+
},
|
1549 |
+
{
|
1550 |
+
"epoch": 0.789518578813659,
|
1551 |
+
"grad_norm": 1.5229837894439697,
|
1552 |
+
"learning_rate": 2e-05,
|
1553 |
+
"loss": 3.6033,
|
1554 |
+
"step": 298500
|
1555 |
+
},
|
1556 |
+
{
|
1557 |
+
"epoch": 0.7934860088579488,
|
1558 |
+
"grad_norm": 1.6937259435653687,
|
1559 |
+
"learning_rate": 2e-05,
|
1560 |
+
"loss": 3.606,
|
1561 |
+
"step": 300000
|
1562 |
+
},
|
1563 |
+
{
|
1564 |
+
"epoch": 0.7934860088579488,
|
1565 |
+
"eval_loss": 3.5862793922424316,
|
1566 |
+
"eval_runtime": 512.2421,
|
1567 |
+
"eval_samples_per_second": 130.429,
|
1568 |
+
"eval_steps_per_second": 32.608,
|
1569 |
+
"step": 300000
|
1570 |
+
},
|
1571 |
+
{
|
1572 |
+
"epoch": 0.7974534389022385,
|
1573 |
+
"grad_norm": 1.4837462902069092,
|
1574 |
+
"learning_rate": 2e-05,
|
1575 |
+
"loss": 3.6056,
|
1576 |
+
"step": 301500
|
1577 |
+
},
|
1578 |
+
{
|
1579 |
+
"epoch": 0.8014208689465283,
|
1580 |
+
"grad_norm": 2.499969482421875,
|
1581 |
+
"learning_rate": 2e-05,
|
1582 |
+
"loss": 3.5886,
|
1583 |
+
"step": 303000
|
1584 |
+
},
|
1585 |
+
{
|
1586 |
+
"epoch": 0.8053882989908181,
|
1587 |
+
"grad_norm": 1.9505125284194946,
|
1588 |
+
"learning_rate": 2e-05,
|
1589 |
+
"loss": 3.6012,
|
1590 |
+
"step": 304500
|
1591 |
+
},
|
1592 |
+
{
|
1593 |
+
"epoch": 0.8093557290351078,
|
1594 |
+
"grad_norm": 1.3550680875778198,
|
1595 |
+
"learning_rate": 2e-05,
|
1596 |
+
"loss": 3.604,
|
1597 |
+
"step": 306000
|
1598 |
+
},
|
1599 |
+
{
|
1600 |
+
"epoch": 0.8133231590793976,
|
1601 |
+
"grad_norm": 1.6309428215026855,
|
1602 |
+
"learning_rate": 2e-05,
|
1603 |
+
"loss": 3.5924,
|
1604 |
+
"step": 307500
|
1605 |
+
},
|
1606 |
+
{
|
1607 |
+
"epoch": 0.8172905891236872,
|
1608 |
+
"grad_norm": 1.4535800218582153,
|
1609 |
+
"learning_rate": 2e-05,
|
1610 |
+
"loss": 3.6027,
|
1611 |
+
"step": 309000
|
1612 |
+
},
|
1613 |
+
{
|
1614 |
+
"epoch": 0.821258019167977,
|
1615 |
+
"grad_norm": 1.4342435598373413,
|
1616 |
+
"learning_rate": 2e-05,
|
1617 |
+
"loss": 3.5984,
|
1618 |
+
"step": 310500
|
1619 |
+
},
|
1620 |
+
{
|
1621 |
+
"epoch": 0.8252254492122668,
|
1622 |
+
"grad_norm": 1.4876697063446045,
|
1623 |
+
"learning_rate": 2e-05,
|
1624 |
+
"loss": 3.608,
|
1625 |
+
"step": 312000
|
1626 |
+
},
|
1627 |
+
{
|
1628 |
+
"epoch": 0.8291928792565565,
|
1629 |
+
"grad_norm": 1.625393271446228,
|
1630 |
+
"learning_rate": 2e-05,
|
1631 |
+
"loss": 3.5937,
|
1632 |
+
"step": 313500
|
1633 |
+
},
|
1634 |
+
{
|
1635 |
+
"epoch": 0.8331603093008463,
|
1636 |
+
"grad_norm": 1.6351014375686646,
|
1637 |
+
"learning_rate": 2e-05,
|
1638 |
+
"loss": 3.5954,
|
1639 |
+
"step": 315000
|
1640 |
+
},
|
1641 |
+
{
|
1642 |
+
"epoch": 0.8331603093008463,
|
1643 |
+
"eval_loss": 3.578728675842285,
|
1644 |
+
"eval_runtime": 509.839,
|
1645 |
+
"eval_samples_per_second": 131.043,
|
1646 |
+
"eval_steps_per_second": 32.761,
|
1647 |
+
"step": 315000
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 0.837127739345136,
|
1651 |
+
"grad_norm": 1.5755149126052856,
|
1652 |
+
"learning_rate": 2e-05,
|
1653 |
+
"loss": 3.5986,
|
1654 |
+
"step": 316500
|
1655 |
+
},
|
1656 |
+
{
|
1657 |
+
"epoch": 0.8410951693894257,
|
1658 |
+
"grad_norm": 2.0601248741149902,
|
1659 |
+
"learning_rate": 2e-05,
|
1660 |
+
"loss": 3.5942,
|
1661 |
+
"step": 318000
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 0.8450625994337155,
|
1665 |
+
"grad_norm": 1.9317686557769775,
|
1666 |
+
"learning_rate": 2e-05,
|
1667 |
+
"loss": 3.5993,
|
1668 |
+
"step": 319500
|
1669 |
+
},
|
1670 |
+
{
|
1671 |
+
"epoch": 0.8490300294780052,
|
1672 |
+
"grad_norm": 2.375718593597412,
|
1673 |
+
"learning_rate": 2e-05,
|
1674 |
+
"loss": 3.5833,
|
1675 |
+
"step": 321000
|
1676 |
+
},
|
1677 |
+
{
|
1678 |
+
"epoch": 0.852997459522295,
|
1679 |
+
"grad_norm": 2.2386367321014404,
|
1680 |
+
"learning_rate": 2e-05,
|
1681 |
+
"loss": 3.587,
|
1682 |
+
"step": 322500
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 0.8569648895665847,
|
1686 |
+
"grad_norm": 1.9626859426498413,
|
1687 |
+
"learning_rate": 2e-05,
|
1688 |
+
"loss": 3.5951,
|
1689 |
+
"step": 324000
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 0.8609323196108745,
|
1693 |
+
"grad_norm": 1.279280424118042,
|
1694 |
+
"learning_rate": 2e-05,
|
1695 |
+
"loss": 3.5881,
|
1696 |
+
"step": 325500
|
1697 |
+
},
|
1698 |
+
{
|
1699 |
+
"epoch": 0.8648997496551643,
|
1700 |
+
"grad_norm": 1.8277925252914429,
|
1701 |
+
"learning_rate": 2e-05,
|
1702 |
+
"loss": 3.5933,
|
1703 |
+
"step": 327000
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 0.8688671796994539,
|
1707 |
+
"grad_norm": 1.578514575958252,
|
1708 |
+
"learning_rate": 2e-05,
|
1709 |
+
"loss": 3.5936,
|
1710 |
+
"step": 328500
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 0.8728346097437437,
|
1714 |
+
"grad_norm": 1.8757489919662476,
|
1715 |
+
"learning_rate": 2e-05,
|
1716 |
+
"loss": 3.5997,
|
1717 |
+
"step": 330000
|
1718 |
+
},
|
1719 |
+
{
|
1720 |
+
"epoch": 0.8728346097437437,
|
1721 |
+
"eval_loss": 3.5698554515838623,
|
1722 |
+
"eval_runtime": 508.3917,
|
1723 |
+
"eval_samples_per_second": 131.416,
|
1724 |
+
"eval_steps_per_second": 32.855,
|
1725 |
+
"step": 330000
|
1726 |
+
},
|
1727 |
+
{
|
1728 |
+
"epoch": 0.8768020397880334,
|
1729 |
+
"grad_norm": 1.7685048580169678,
|
1730 |
+
"learning_rate": 2e-05,
|
1731 |
+
"loss": 3.5876,
|
1732 |
+
"step": 331500
|
1733 |
+
},
|
1734 |
+
{
|
1735 |
+
"epoch": 0.8807694698323232,
|
1736 |
+
"grad_norm": 1.6386830806732178,
|
1737 |
+
"learning_rate": 2e-05,
|
1738 |
+
"loss": 3.5908,
|
1739 |
+
"step": 333000
|
1740 |
+
},
|
1741 |
+
{
|
1742 |
+
"epoch": 0.884736899876613,
|
1743 |
+
"grad_norm": 1.6260840892791748,
|
1744 |
+
"learning_rate": 2e-05,
|
1745 |
+
"loss": 3.5839,
|
1746 |
+
"step": 334500
|
1747 |
+
},
|
1748 |
+
{
|
1749 |
+
"epoch": 0.8887043299209026,
|
1750 |
+
"grad_norm": 1.721689224243164,
|
1751 |
+
"learning_rate": 2e-05,
|
1752 |
+
"loss": 3.5876,
|
1753 |
+
"step": 336000
|
1754 |
+
},
|
1755 |
+
{
|
1756 |
+
"epoch": 0.8926717599651924,
|
1757 |
+
"grad_norm": 2.114492654800415,
|
1758 |
+
"learning_rate": 2e-05,
|
1759 |
+
"loss": 3.5752,
|
1760 |
+
"step": 337500
|
1761 |
+
},
|
1762 |
+
{
|
1763 |
+
"epoch": 0.8966391900094821,
|
1764 |
+
"grad_norm": 1.563759446144104,
|
1765 |
+
"learning_rate": 2e-05,
|
1766 |
+
"loss": 3.5679,
|
1767 |
+
"step": 339000
|
1768 |
+
},
|
1769 |
+
{
|
1770 |
+
"epoch": 0.9006066200537719,
|
1771 |
+
"grad_norm": 1.5705732107162476,
|
1772 |
+
"learning_rate": 2e-05,
|
1773 |
+
"loss": 3.5934,
|
1774 |
+
"step": 340500
|
1775 |
+
},
|
1776 |
+
{
|
1777 |
+
"epoch": 0.9045740500980617,
|
1778 |
+
"grad_norm": 1.3177400827407837,
|
1779 |
+
"learning_rate": 2e-05,
|
1780 |
+
"loss": 3.5942,
|
1781 |
+
"step": 342000
|
1782 |
+
},
|
1783 |
+
{
|
1784 |
+
"epoch": 0.9085414801423514,
|
1785 |
+
"grad_norm": 2.3175089359283447,
|
1786 |
+
"learning_rate": 2e-05,
|
1787 |
+
"loss": 3.5812,
|
1788 |
+
"step": 343500
|
1789 |
+
},
|
1790 |
+
{
|
1791 |
+
"epoch": 0.9125089101866412,
|
1792 |
+
"grad_norm": 1.7788249254226685,
|
1793 |
+
"learning_rate": 2e-05,
|
1794 |
+
"loss": 3.5801,
|
1795 |
+
"step": 345000
|
1796 |
+
},
|
1797 |
+
{
|
1798 |
+
"epoch": 0.9125089101866412,
|
1799 |
+
"eval_loss": 3.562117338180542,
|
1800 |
+
"eval_runtime": 508.9343,
|
1801 |
+
"eval_samples_per_second": 131.276,
|
1802 |
+
"eval_steps_per_second": 32.82,
|
1803 |
+
"step": 345000
|
1804 |
+
},
|
1805 |
+
{
|
1806 |
+
"epoch": 0.9164763402309308,
|
1807 |
+
"grad_norm": 1.8623145818710327,
|
1808 |
+
"learning_rate": 2e-05,
|
1809 |
+
"loss": 3.5826,
|
1810 |
+
"step": 346500
|
1811 |
+
},
|
1812 |
+
{
|
1813 |
+
"epoch": 0.9204437702752206,
|
1814 |
+
"grad_norm": 1.7332490682601929,
|
1815 |
+
"learning_rate": 2e-05,
|
1816 |
+
"loss": 3.5857,
|
1817 |
+
"step": 348000
|
1818 |
+
},
|
1819 |
+
{
|
1820 |
+
"epoch": 0.9244112003195104,
|
1821 |
+
"grad_norm": 2.2232964038848877,
|
1822 |
+
"learning_rate": 2e-05,
|
1823 |
+
"loss": 3.5789,
|
1824 |
+
"step": 349500
|
1825 |
+
},
|
1826 |
+
{
|
1827 |
+
"epoch": 0.9283786303638001,
|
1828 |
+
"grad_norm": 1.4348344802856445,
|
1829 |
+
"learning_rate": 2e-05,
|
1830 |
+
"loss": 3.5736,
|
1831 |
+
"step": 351000
|
1832 |
+
},
|
1833 |
+
{
|
1834 |
+
"epoch": 0.9323460604080899,
|
1835 |
+
"grad_norm": 1.3817743062973022,
|
1836 |
+
"learning_rate": 2e-05,
|
1837 |
+
"loss": 3.5759,
|
1838 |
+
"step": 352500
|
1839 |
+
},
|
1840 |
+
{
|
1841 |
+
"epoch": 0.9363134904523795,
|
1842 |
+
"grad_norm": 1.8987672328948975,
|
1843 |
+
"learning_rate": 2e-05,
|
1844 |
+
"loss": 3.5743,
|
1845 |
+
"step": 354000
|
1846 |
+
},
|
1847 |
+
{
|
1848 |
+
"epoch": 0.9402809204966693,
|
1849 |
+
"grad_norm": 1.5825597047805786,
|
1850 |
+
"learning_rate": 2e-05,
|
1851 |
+
"loss": 3.5746,
|
1852 |
+
"step": 355500
|
1853 |
+
},
|
1854 |
+
{
|
1855 |
+
"epoch": 0.9442483505409591,
|
1856 |
+
"grad_norm": 1.5452762842178345,
|
1857 |
+
"learning_rate": 2e-05,
|
1858 |
+
"loss": 3.5781,
|
1859 |
+
"step": 357000
|
1860 |
+
},
|
1861 |
+
{
|
1862 |
+
"epoch": 0.9482157805852488,
|
1863 |
+
"grad_norm": 1.3254438638687134,
|
1864 |
+
"learning_rate": 2e-05,
|
1865 |
+
"loss": 3.5868,
|
1866 |
+
"step": 358500
|
1867 |
+
},
|
1868 |
+
{
|
1869 |
+
"epoch": 0.9521832106295386,
|
1870 |
+
"grad_norm": 2.779953956604004,
|
1871 |
+
"learning_rate": 2e-05,
|
1872 |
+
"loss": 3.5705,
|
1873 |
+
"step": 360000
|
1874 |
+
},
|
1875 |
+
{
|
1876 |
+
"epoch": 0.9521832106295386,
|
1877 |
+
"eval_loss": 3.5557963848114014,
|
1878 |
+
"eval_runtime": 508.3414,
|
1879 |
+
"eval_samples_per_second": 131.429,
|
1880 |
+
"eval_steps_per_second": 32.858,
|
1881 |
+
"step": 360000
|
1882 |
+
},
|
1883 |
+
{
|
1884 |
+
"epoch": 0.9561506406738283,
|
1885 |
+
"grad_norm": 1.8877593278884888,
|
1886 |
+
"learning_rate": 2e-05,
|
1887 |
+
"loss": 3.561,
|
1888 |
+
"step": 361500
|
1889 |
+
},
|
1890 |
+
{
|
1891 |
+
"epoch": 0.960118070718118,
|
1892 |
+
"grad_norm": 1.5967822074890137,
|
1893 |
+
"learning_rate": 2e-05,
|
1894 |
+
"loss": 3.5633,
|
1895 |
+
"step": 363000
|
1896 |
+
},
|
1897 |
+
{
|
1898 |
+
"epoch": 0.9640855007624078,
|
1899 |
+
"grad_norm": 2.1027090549468994,
|
1900 |
+
"learning_rate": 2e-05,
|
1901 |
+
"loss": 3.576,
|
1902 |
+
"step": 364500
|
1903 |
+
},
|
1904 |
+
{
|
1905 |
+
"epoch": 0.9680529308066975,
|
1906 |
+
"grad_norm": 1.8715656995773315,
|
1907 |
+
"learning_rate": 2e-05,
|
1908 |
+
"loss": 3.5809,
|
1909 |
+
"step": 366000
|
1910 |
+
},
|
1911 |
+
{
|
1912 |
+
"epoch": 0.9720203608509873,
|
1913 |
+
"grad_norm": 1.6980156898498535,
|
1914 |
+
"learning_rate": 2e-05,
|
1915 |
+
"loss": 3.5678,
|
1916 |
+
"step": 367500
|
1917 |
+
},
|
1918 |
+
{
|
1919 |
+
"epoch": 0.975987790895277,
|
1920 |
+
"grad_norm": 1.4774205684661865,
|
1921 |
+
"learning_rate": 2e-05,
|
1922 |
+
"loss": 3.5771,
|
1923 |
+
"step": 369000
|
1924 |
+
}
|
1925 |
+
],
|
1926 |
+
"logging_steps": 1500,
|
1927 |
+
"max_steps": 378078,
|
1928 |
+
"num_input_tokens_seen": 0,
|
1929 |
+
"num_train_epochs": 1,
|
1930 |
+
"save_steps": 10000,
|
1931 |
+
"stateful_callbacks": {
|
1932 |
+
"TrainerControl": {
|
1933 |
+
"args": {
|
1934 |
+
"should_epoch_stop": false,
|
1935 |
+
"should_evaluate": false,
|
1936 |
+
"should_log": false,
|
1937 |
+
"should_save": true,
|
1938 |
+
"should_training_stop": false
|
1939 |
+
},
|
1940 |
+
"attributes": {}
|
1941 |
+
}
|
1942 |
+
},
|
1943 |
+
"total_flos": 4.653629565827236e+18,
|
1944 |
+
"train_batch_size": 8,
|
1945 |
+
"trial_name": null,
|
1946 |
+
"trial_params": null
|
1947 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f0002e7e084213a534b889c72e039fd6fc9abae9b0498d394c5c7323149eb7ad
|
3 |
+
size 5112
|