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README.md

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----
-license: mit
----
+---
+library_name: transformers
+base_model: NoManDeRY/DPO-Shift-Qwen-2-7B-UltraChat200K-SFT
+tags:
+- alignment-handbook
+- generated_from_trainer
+datasets:
+- HuggingFaceH4/ultrafeedback_binarized
+model-index:
+- name: qwen-2-7b-dpo-ultrafeedback-20241224-011408-5e-7-SFTed-paged_adamw_32bit-fixed-0.95
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# qwen-2-7b-dpo-ultrafeedback-20241224-011408-5e-7-SFTed-paged_adamw_32bit-fixed-0.95
+
+This model is a fine-tuned version of [/data/workdir/zl/save_sft/qwen-2-7b-sft-ultrachat_200k-2e-5-paged_adamw_32bit](https://huggingface.co//data/workdir/zl/save_sft/qwen-2-7b-sft-ultrachat_200k-2e-5-paged_adamw_32bit) on the HuggingFaceH4/ultrafeedback_binarized dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5890
+- Rewards/chosen: -0.0170
+- Rewards/rejected: -0.3976
+- Dpo Lambda: 0.9500
+- Rewards/accuracies: 0.7302
+- Rewards/margins: 0.3806
+- Logps/rejected: -346.4959
+- Logps/chosen: -335.0127
+- Logits/rejected: -1.2190
+- Logits/chosen: -1.1200
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-07
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- total_eval_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Dpo Lambda | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:----------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6842        | 0.1047 | 50   | 0.6827          | 0.1496         | 0.1349           | 0.9500     | 0.6865             | 0.0147          | -293.2452      | -318.3515    | -1.2886         | -1.1643       |
+| 0.6498        | 0.2093 | 100  | 0.6609          | 0.2769         | 0.2144           | 0.9500     | 0.7381             | 0.0625          | -285.2926      | -305.6219    | -1.2589         | -1.1266       |
+| 0.6549        | 0.3140 | 150  | 0.6408          | 0.2288         | 0.0982           | 0.9500     | 0.7341             | 0.1307          | -296.9194      | -310.4279    | -1.3148         | -1.1846       |
+| 0.6413        | 0.4186 | 200  | 0.6250          | 0.1619         | -0.0318          | 0.9500     | 0.7381             | 0.1938          | -309.9195      | -317.1192    | -1.2956         | -1.1761       |
+| 0.6069        | 0.5233 | 250  | 0.6114          | 0.0886         | -0.1684          | 0.9500     | 0.7302             | 0.2570          | -323.5783      | -324.4538    | -1.2827         | -1.1695       |
+| 0.611         | 0.6279 | 300  | 0.5997          | 0.0461         | -0.2674          | 0.9500     | 0.7381             | 0.3135          | -333.4765      | -328.6992    | -1.2575         | -1.1528       |
+| 0.6151        | 0.7326 | 350  | 0.5924          | -0.0016        | -0.3586          | 0.9500     | 0.7222             | 0.3570          | -342.5963      | -333.4674    | -1.2391         | -1.1370       |
+| 0.5997        | 0.8373 | 400  | 0.5898          | -0.0127        | -0.3884          | 0.9500     | 0.7222             | 0.3758          | -345.5813      | -334.5772    | -1.2248         | -1.1256       |
+| 0.5708        | 0.9419 | 450  | 0.5890          | -0.0170        | -0.3976          | 0.9500     | 0.7302             | 0.3806          | -346.4959      | -335.0127    | -1.2190         | -1.1200       |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

added_tokens.json

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all_results.json

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+{
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+    "eval_logits/rejected": -1.219346046447754,
+    "eval_logps/chosen": -335.05401611328125,
+    "eval_logps/rejected": -346.5255126953125,
+    "eval_loss": 0.5889791250228882,
+    "eval_rewards/accuracies": 0.7301587462425232,
+    "eval_rewards/chosen": -0.017424680292606354,
+    "eval_rewards/margins": 0.3804663419723511,
+    "eval_rewards/rejected": -0.3978910744190216,
+    "eval_runtime": 129.2516,
+    "eval_samples": 2000,
+    "eval_samples_per_second": 15.474,
+    "eval_steps_per_second": 0.487,
+    "total_flos": 0.0,
+    "train_loss": 0.6220506337203819,
+    "train_runtime": 15789.8628,
+    "train_samples": 61134,
+    "train_samples_per_second": 3.872,
+    "train_steps_per_second": 0.03
+}

config.json

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+  "architectures": [
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+  "hidden_act": "silu",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 18944,
+  "max_position_embeddings": 131072,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 28,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 4,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 1000000.0,
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+  "transformers_version": "4.44.2",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 152064
+}

eval_results.json

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+    "eval_logits/chosen": -1.1204973459243774,
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+    "eval_rewards/accuracies": 0.7301587462425232,
+    "eval_rewards/chosen": -0.017424680292606354,
+    "eval_rewards/margins": 0.3804663419723511,
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+    "eval_runtime": 129.2516,
+    "eval_samples": 2000,
+    "eval_samples_per_second": 15.474,
+    "eval_steps_per_second": 0.487
+}

generation_config.json

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+  "eos_token_id": 151643,
+  "max_new_tokens": 2048,
+  "transformers_version": "4.44.2"
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+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' and messages[0]['role'] != 'assistant'%}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "model_max_length": 32768,
+  "pad_token": "<|endoftext|>",
+  "padding_side": "right",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 0.9984301412872841,
+    "total_flos": 0.0,
+    "train_loss": 0.6220506337203819,
+    "train_runtime": 15789.8628,
+    "train_samples": 61134,
+    "train_samples_per_second": 3.872,
+    "train_steps_per_second": 0.03
+}

training_args.bin

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+oid sha256:5c505e1f9bfed35eacf0a7507dd7cdc2bb8d73601e3fc6bd58f8f526952626a4
+size 8312