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Model: W-61/llama-3-8b-base-margin-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
+- margin-dpo
+- generated_from_trainer
+datasets:
+- Anthropic/hh-rlhf
+model-index:
+- name: llama-3-8b-base-margin-dpo-hh-helpful-8xh200-20260410-172009
+  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-margin-dpo-hh-helpful-8xh200-20260410-172009
+
+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: 0.4588
+- Margin Dpo/margin Mean: 11.1187
+- Margin Dpo/margin Std: 15.0696
+- Logps/chosen: -119.7147
+- Logps/rejected: -113.9535
+- Logps/ref Chosen: -97.0617
+- Logps/ref Rejected: -80.1818
+- Logits/chosen: -0.5876
+- Logits/rejected: -0.5495
+
+## 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 | Margin Dpo/margin Mean | Margin Dpo/margin Std | Logps/chosen | Logps/rejected | Logps/ref Chosen | Logps/ref Rejected | Logits/chosen | Logits/rejected |
+|:-------------:|:------:|:----:|:---------------:|:----------------------:|:---------------------:|:------------:|:--------------:|:----------------:|:------------------:|:-------------:|:---------------:|
+| 0.4265        | 0.2941 | 100  | 0.5427          | 5.3418                 | 10.0613               | -107.1989    | -95.6607       | -97.0617         | -80.1818           | -0.6361       | -0.6086         |
+| 0.3411        | 0.5882 | 200  | 0.4754          | 10.2996                | 14.6526               | -119.3164    | -112.7360      | -97.0617         | -80.1818           | -0.6021       | -0.5640         |
+| 0.3552        | 0.8824 | 300  | 0.4588          | 11.1187                | 15.0696               | -119.7147    | -113.9535      | -97.0617         | -80.1818           | -0.5876       | -0.5495         |
+
+
+### Framework versions
+
+- Transformers 4.51.0
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.21.4