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Model: W-61/mistral-7b-base-epsilon-dpo-hh-harmless-4xh200-batch-64
Source: Original Platform

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README.md

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+---
+library_name: transformers
+base_model: mistral-7b-base-sft-hh-harmless-4xh200-batch-64-20260418-015332
+tags:
+- alignment-handbook
+- epsilon-dpo
+- generated_from_trainer
+datasets:
+- Anthropic/hh-rlhf
+model-index:
+- name: mistral-7b-base-epsilon-dpo-hh-harmless-4xh200-batch-64-20260418-015332
+  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. -->
+
+# mistral-7b-base-epsilon-dpo-hh-harmless-4xh200-batch-64-20260418-015332
+
+This model is a fine-tuned version of [mistral-7b-base-sft-hh-harmless-4xh200-batch-64-20260418-015332](https://huggingface.co/mistral-7b-base-sft-hh-harmless-4xh200-batch-64-20260418-015332) on the Anthropic/hh-rlhf dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5935
+- Epsilon Dpo/beta: 0.0044
+- Epsilon Dpo/loss Margin Mean: 65.2805
+- Epsilon Dpo/beta Margin Mean: 0.2810
+- Epsilon Dpo/beta Margin Std: 0.5001
+- Epsilon Dpo/beta Margin Grad Mean: -0.4338
+- Epsilon Dpo/beta Margin Grad Std: 0.1154
+- Rewards/chosen: -0.4127
+- Rewards/rejected: -0.6936
+- Rewards/accuracies: 0.7196
+- Rewards/margins: 0.2810
+- Logps/chosen: -171.7436
+- Logps/rejected: -233.1436
+- Logps/ref Chosen: -77.4087
+- Logps/ref Rejected: -73.5282
+- Logits/chosen: -3.1674
+- Logits/rejected: -2.9705
+- Kl/p Epsilon Steps: 0.7117
+- Kl/n Epsilon Steps: 0.2870
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- total_eval_batch_size: 32
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Epsilon Dpo/beta | Epsilon Dpo/loss Margin Mean | Epsilon Dpo/beta Margin Mean | Epsilon Dpo/beta Margin Std | Epsilon Dpo/beta Margin Grad Mean | Epsilon Dpo/beta Margin Grad Std | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/chosen | Logps/rejected | Logps/ref Chosen | Logps/ref Rejected | Logits/chosen | Logits/rejected | Kl/p Epsilon Steps | Kl/n Epsilon Steps |
+|:-------------:|:------:|:----:|:---------------:|:----------------:|:----------------------------:|:----------------------------:|:---------------------------:|:---------------------------------:|:--------------------------------:|:--------------:|:----------------:|:------------------:|:---------------:|:------------:|:--------------:|:----------------:|:------------------:|:-------------:|:---------------:|:------------------:|:------------------:|
+| 0.9822        | 0.1512 | 100  | 0.6127          | 0.0682           | 6.4966                       | 0.4365                       | 1.0172                      | -0.4126                           | 0.1971                           | -0.5724        | -1.0089          | 0.6646             | 0.4365          | -85.7551     | -88.3712       | -77.4087         | -73.5282           | -3.5599       | -3.5776         | 0.6721             | 0.3275             |
+| 0.8262        | 0.3023 | 200  | 0.5655          | 0.0393           | 16.0515                      | 0.6241                       | 1.1422                      | -0.3816                           | 0.2119                           | -0.8102        | -1.4343          | 0.7007             | 0.6241          | -97.9143     | -110.0853      | -77.4087         | -73.5282           | -3.5815       | -3.5644         | 0.7073             | 0.2918             |
+| 0.949         | 0.4535 | 300  | 0.5616          | 0.0224           | 23.5752                      | 0.5225                       | 0.9256                      | -0.3915                           | 0.1875                           | -0.6680        | -1.1905          | 0.7121             | 0.5225          | -107.0630    | -126.7577      | -77.4087         | -73.5282           | -3.5920       | -3.5350         | 0.7069             | 0.2918             |
+| 0.9633        | 0.6047 | 400  | 0.5351          | 0.0130           | 47.5045                      | 0.6097                       | 0.9587                      | -0.3752                           | 0.1913                           | -0.7854        | -1.3951          | 0.7267             | 0.6097          | -137.7568    | -181.3808      | -77.4087         | -73.5282           | -3.4438       | -3.3090         | 0.7284             | 0.2698             |
+| 1.0329        | 0.7559 | 500  | 0.5608          | 0.0073           | 59.4602                      | 0.4316                       | 0.7150                      | -0.4038                           | 0.1553                           | -0.5800        | -1.0116          | 0.7258             | 0.4316          | -156.1025    | -211.6822      | -77.4087         | -73.5282           | -3.2563       | -3.0824         | 0.7192             | 0.2790             |
+| 1.0833        | 0.9070 | 600  | 0.5935          | 0.0044           | 65.2805                      | 0.2810                       | 0.5001                      | -0.4338                           | 0.1154                           | -0.4127        | -0.6936          | 0.7196             | 0.2810          | -171.7436    | -233.1436      | -77.4087         | -73.5282           | -3.1674       | -2.9705         | 0.7117             | 0.2870             |
+
+
+### Framework versions
+
+- Transformers 4.51.0
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.21.4

all_results.json

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+    "eval_epsilon_dpo/beta": 0.003164831316098571,
+    "eval_epsilon_dpo/beta_margin_grad_mean": -0.4500769376754761,
+    "eval_epsilon_dpo/beta_margin_grad_std": 0.08875461667776108,
+    "eval_epsilon_dpo/beta_margin_mean": 0.20660468935966492,
+    "eval_epsilon_dpo/beta_margin_std": 0.3723542392253876,
+    "eval_epsilon_dpo/loss_margin_mean": 66.05204772949219,
+    "eval_kl/n_epsilon_steps": 0.28917253017425537,
+    "eval_kl/p_epsilon_steps": 0.7099471688270569,
+    "eval_logits/chosen": -3.157954216003418,
+    "eval_logits/rejected": -2.9584426879882812,
+    "eval_logps/chosen": -173.7250213623047,
+    "eval_logps/ref_chosen": -77.40868377685547,
+    "eval_logps/ref_rejected": -73.52816772460938,
+    "eval_logps/rejected": -235.89654541015625,
+    "eval_loss": 0.6127588152885437,
+    "eval_rewards/accuracies": 0.71875,
+    "eval_rewards/chosen": -0.30623942613601685,
+    "eval_rewards/margins": 0.20660467445850372,
+    "eval_rewards/rejected": -0.5128440856933594,
+    "eval_runtime": 36.9095,
+    "eval_samples": 2303,
+    "eval_samples_per_second": 62.396,
+    "eval_steps_per_second": 1.951,
+    "total_flos": 0.0,
+    "train_loss": 1.0336073330418967,
+    "train_runtime": 2985.5995,
+    "train_samples": 42336,
+    "train_samples_per_second": 14.18,
+    "train_steps_per_second": 0.221
+}

config.json

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+{
+  "architectures": [
+    "MistralForCausalLM"
+  ],
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+  "bos_token_id": 1,
+  "eos_token_id": 2,
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+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.51.0",
+  "use_cache": true,
+  "vocab_size": 32768
+}

eval_results.json

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+    "eval_epsilon_dpo/beta_margin_mean": 0.20660468935966492,
+    "eval_epsilon_dpo/beta_margin_std": 0.3723542392253876,
+    "eval_epsilon_dpo/loss_margin_mean": 66.05204772949219,
+    "eval_kl/n_epsilon_steps": 0.28917253017425537,
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+    "eval_samples": 2303,
+    "eval_samples_per_second": 62.396,
+    "eval_steps_per_second": 1.951
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generation_config.json

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+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.51.0"
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train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 0.999244142101285,
+    "total_flos": 0.0,
+    "train_loss": 1.0336073330418967,
+    "train_runtime": 2985.5995,
+    "train_samples": 42336,
+    "train_samples_per_second": 14.18,
+    "train_steps_per_second": 0.221
+}