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Model: W-61/llama-3-8b-base-epsilon-dpo-hh-helpful-8xh200
Source: Original Platform
2026-04-24 10:33:04 +08:00

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---
library_name: transformers
base_model: W-61/llama-3-8b-base-sft-hh-helpful-8xh200
tags:
- alignment-handbook
- epsilon-dpo
- generated_from_trainer
datasets:
- Anthropic/hh-rlhf
model-index:
- name: llama-3-8b-base-epsilon-dpo-hh-helpful-8xh200-20260410-233108
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-8xh200-20260410-233108
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: 0.6443
- Rewards/chosen: -0.4430
- Rewards/rejected: -0.5884
- Rewards/accuracies: 0.6402
- Rewards/margins: 0.1454
- Logps/chosen: -208.1799
- Logps/rejected: -243.5746
- Logps/ref Chosen: -87.8236
- Logps/ref Rejected: -82.8189
- Logits/chosen: -0.8325
- Logits/rejected: -0.7259
- Kl/p Epsilon Steps: 0.6150
- Kl/n Epsilon Steps: 0.3850
## 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 | 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:------------:|:--------------:|:----------------:|:------------------:|:-------------:|:---------------:|:------------------:|:------------------:|
| 0.6236 | 0.2941 | 100 | 0.6636 | -0.3033 | -0.3895 | 0.6124 | 0.0862 | -127.6472 | -134.3018 | -87.8236 | -82.8189 | -1.2261 | -1.1807 | 0.5760 | 0.4236 |
| 0.5934 | 0.5882 | 200 | 0.6429 | -0.5156 | -0.6820 | 0.6324 | 0.1663 | -182.9084 | -209.3034 | -87.8236 | -82.8189 | -0.9817 | -0.8951 | 0.6037 | 0.3958 |
| 0.6156 | 0.8824 | 300 | 0.6443 | -0.4430 | -0.5884 | 0.6402 | 0.1454 | -208.1799 | -243.5746 | -87.8236 | -82.8189 | -0.8325 | -0.7259 | 0.6150 | 0.3850 |
### Framework versions
- Transformers 4.51.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.21.4