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Model: W-61/llama-3-8b-base-epsilon-dpo-hh-helpful-4xh200-batch-64-20260418-001920
Source: Original Platform

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README.md

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+---
+library_name: transformers
+base_model: llama-3-8b-base-sft-hh-helpful-4xh200-batch-64
+tags:
+- alignment-handbook
+- epsilon-dpo
+- generated_from_trainer
+datasets:
+- Anthropic/hh-rlhf
+model-index:
+- name: llama-3-8b-base-epsilon-dpo-hh-helpful-4xh200-batch-64-20260418-001920
+  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. -->
+
+# llama-3-8b-base-epsilon-dpo-hh-helpful-4xh200-batch-64-20260418-001920
+
+This model is a fine-tuned version of [llama-3-8b-base-sft-hh-helpful-4xh200-batch-64](https://huggingface.co/llama-3-8b-base-sft-hh-helpful-4xh200-batch-64) on the Anthropic/hh-rlhf dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5941
+- Epsilon Dpo/beta: 0.0022
+- Epsilon Dpo/loss Margin Mean: 124.0911
+- Epsilon Dpo/beta Margin Mean: 0.2718
+- Epsilon Dpo/beta Margin Std: 0.4719
+- Epsilon Dpo/beta Margin Grad Mean: -0.4365
+- Epsilon Dpo/beta Margin Grad Std: 0.1083
+- Rewards/chosen: -0.9073
+- Rewards/rejected: -1.1791
+- Rewards/accuracies: 0.7183
+- Rewards/margins: 0.2718
+- Logps/chosen: -487.8939
+- Logps/rejected: -619.7319
+- Logps/ref Chosen: -79.0510
+- Logps/ref Rejected: -86.7979
+- Logits/chosen: 0.9628
+- Logits/rejected: 1.3823
+- Kl/p Epsilon Steps: 0.6956
+- Kl/n Epsilon Steps: 0.3022
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:----------------:|:----------------------------:|:----------------------------:|:---------------------------:|:---------------------------------:|:--------------------------------:|:--------------:|:----------------:|:------------------:|:---------------:|:------------:|:--------------:|:----------------:|:------------------:|:-------------:|:---------------:|:------------------:|:------------------:|
+| 0.9809        | 0.1468 | 100  | 0.5819          | 0.0612           | 10.0016                      | 0.6045                       | 1.2197                      | -0.3930                           | 0.2078                           | -0.7143        | -1.3188          | 0.6926             | 0.6045          | -90.6611     | -108.4097      | -79.0510         | -86.7979           | -0.9442       | -0.8901         | 0.6370             | 0.3617             |
+| 0.7763        | 0.2937 | 200  | 0.5340          | 0.0331           | 25.3103                      | 0.8303                       | 1.4036                      | -0.3643                           | 0.2158                           | -1.1029        | -1.9332          | 0.7149             | 0.8303          | -112.2424    | -145.2996      | -79.0510         | -86.7979           | -0.9108       | -0.8737         | 0.6759             | 0.3232             |
+| 0.7955        | 0.4405 | 300  | 0.4928          | 0.0169           | 54.8226                      | 0.9212                       | 1.3268                      | -0.3414                           | 0.2134                           | -1.7179        | -2.6391          | 0.7453             | 0.9212          | -180.2318    | -242.8013      | -79.0510         | -86.7979           | -0.4338       | -0.2913         | 0.7282             | 0.2710             |
+| 0.6919        | 0.5874 | 400  | 0.5234          | 0.0084           | 77.8526                      | 0.6459                       | 0.9831                      | -0.3725                           | 0.1852                           | -1.3445        | -1.9904          | 0.7333             | 0.6459          | -239.2477    | -324.8472      | -79.0510         | -86.7979           | 0.0554        | 0.2763          | 0.7183             | 0.2808             |
+| 0.9214        | 0.7342 | 500  | 0.5470          | 0.0042           | 108.2775                     | 0.4514                       | 0.6818                      | -0.4010                           | 0.1444                           | -1.4275        | -1.8789          | 0.7487             | 0.4514          | -417.7782    | -533.8026      | -79.0510         | -86.7979           | 0.5317        | 0.8735          | 0.7235             | 0.2753             |
+| 1.0729        | 0.8811 | 600  | 0.5941          | 0.0022           | 124.0911                     | 0.2718                       | 0.4719                      | -0.4365                           | 0.1083                           | -0.9073        | -1.1791          | 0.7183             | 0.2718          | -487.8939    | -619.7319      | -79.0510         | -86.7979           | 0.9628        | 1.3823          | 0.6956             | 0.3022             |
+
+
+### 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": 0.00137312151491642,
+    "eval_epsilon_dpo/beta_margin_grad_mean": -0.457266241312027,
+    "eval_epsilon_dpo/beta_margin_grad_std": 0.07400882244110107,
+    "eval_epsilon_dpo/beta_margin_mean": 0.17634743452072144,
+    "eval_epsilon_dpo/beta_margin_std": 0.3081098198890686,
+    "eval_epsilon_dpo/loss_margin_mean": 129.92251586914062,
+    "eval_kl/n_epsilon_steps": 0.3146404027938843,
+    "eval_kl/p_epsilon_steps": 0.6840753555297852,
+    "eval_logits/chosen": 1.162959337234497,
+    "eval_logits/rejected": 1.6319952011108398,
+    "eval_logps/chosen": -537.3916015625,
+    "eval_logps/ref_chosen": -79.05104064941406,
+    "eval_logps/ref_rejected": -86.79793548583984,
+    "eval_logps/rejected": -675.0609741210938,
+    "eval_loss": 0.621041476726532,
+    "eval_rewards/accuracies": 0.712756872177124,
+    "eval_rewards/chosen": -0.6303684711456299,
+    "eval_rewards/margins": 0.17634743452072144,
+    "eval_rewards/rejected": -0.8067159056663513,
+    "eval_runtime": 43.1088,
+    "eval_samples": 2339,
+    "eval_samples_per_second": 54.258,
+    "eval_steps_per_second": 1.717,
+    "total_flos": 0.0,
+    "train_loss": 0.8920053139482126,
+    "train_runtime": 3235.1211,
+    "train_samples": 43598,
+    "train_samples_per_second": 13.476,
+    "train_steps_per_second": 0.211
+}

config.json

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+  "architectures": [
+    "LlamaForCausalLM"
+  ],
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+  "attention_dropout": 0.0,
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+  "mlp_bias": false,
+  "model_type": "llama",
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+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
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+  "rope_scaling": null,
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+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.51.0",
+  "use_cache": true,
+  "vocab_size": 128256
+}

eval_results.json

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+    "eval_epsilon_dpo/loss_margin_mean": 129.92251586914062,
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+    "eval_steps_per_second": 1.717
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generation_config.json

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+  "max_length": 4096,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.51.0"
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+  }
+}

tokenizer.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3c5cf44023714fb39b05e71e425f8d7b92805ff73f7988b083b8c87f0bf87393
+size 17209961

train_results.json

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+{
+    "epoch": 1.0,
+    "total_flos": 0.0,
+    "train_loss": 0.8920053139482126,
+    "train_runtime": 3235.1211,
+    "train_samples": 43598,
+    "train_samples_per_second": 13.476,
+    "train_steps_per_second": 0.211
+}