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Model: W-61/llama-3-8b-base-beta-dpo-hh-helpful-8xh200
Source: Original Platform

README.md

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+---
+library_name: transformers
+base_model: W-61/llama-3-8b-base-sft-hh-helpful-8xh200
+tags:
+- alignment-handbook
+- beta-dpo
+- generated_from_trainer
+datasets:
+- Anthropic/hh-rlhf
+model-index:
+- name: llama-3-8b-base-beta-dpo-hh-helpful-8xh200-20260410-215627
+  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-beta-dpo-hh-helpful-8xh200-20260410-215627
+
+This model is a fine-tuned version of [W-61/llama-3-8b-base-sft-hh-helpful-8xh200](https://huggingface.co/W-61/llama-3-8b-base-sft-hh-helpful-8xh200) on the Anthropic/hh-rlhf dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6427
+- Beta Dpo/gap Mean: 20.0887
+- Beta Dpo/gap Std: 30.0787
+- Beta Dpo/beta Used Raw: -0.1169
+- Beta Dpo/beta Used: 0.0317
+- Beta Dpo/mask Keep Frac: 1.0
+- Logits/chosen: -0.6626
+- Logits/rejected: -0.6207
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 128
+- total_eval_batch_size: 128
+- 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 | Beta Dpo/gap Mean | Beta Dpo/gap Std | Beta Dpo/beta Used Raw | Beta Dpo/beta Used | Beta Dpo/mask Keep Frac | Logits/chosen | Logits/rejected |
+|:-------------:|:------:|:----:|:---------------:|:-----------------:|:----------------:|:----------------------:|:------------------:|:-----------------------:|:-------------:|:---------------:|
+| 0.4098        | 0.2941 | 100  | 0.6251          | 7.9978            | 13.2607          | 0.0159                 | 0.0433             | 1.0                     | -0.6978       | -0.6669         |
+| 0.5527        | 0.5882 | 200  | 0.6421          | 17.1059           | 25.9459          | -0.0801                | 0.0373             | 1.0                     | -0.6983       | -0.6587         |
+| 0.5831        | 0.8824 | 300  | 0.6427          | 20.0887           | 30.0787          | -0.1169                | 0.0317             | 1.0                     | -0.6626       | -0.6207         |
+
+
+### Framework versions
+
+- Transformers 4.51.0
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.21.4