ed60227d3e
Model: jackf857/qwen3-8b-base-margin-dpo-hh-helpful-4xh200-batch-64-20260423-233948 Source: Original Platform
3.5 KiB
3.5 KiB
library_name, base_model, tags, datasets, model-index
| library_name | base_model | tags | datasets | model-index | |||||||||
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| transformers | jackf857/qwen3-8b-base-sft-hh-helpful-4xh200-batch-64-20260417-214452 |
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qwen3-8b-base-margin-dpo-hh-helpful-4xh200-batch-64-20260423-233948
This model is a fine-tuned version of jackf857/qwen3-8b-base-sft-hh-helpful-4xh200-batch-64-20260417-214452 on the Anthropic/hh-rlhf dataset. It achieves the following results on the evaluation set:
- Loss: 0.4195
- Margin Dpo/margin Mean: 15.8715
- Margin Dpo/margin Std: 17.0771
- Logps/chosen: -132.6461
- Logps/rejected: -139.3175
- Logps/ref Chosen: -101.8862
- Logps/ref Rejected: -92.6861
- Logits/chosen: -1.4538
- Logits/rejected: -1.1606
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 | Margin Dpo/margin Mean | Margin Dpo/margin Std | Logps/chosen | Logps/rejected | Logps/ref Chosen | Logps/ref Rejected | Logits/chosen | Logits/rejected |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.0426 | 0.1468 | 100 | 0.6031 | 2.7546 | 5.8844 | -105.6357 | -99.1902 | -101.8862 | -92.6861 | -0.0566 | 0.1974 |
| 0.7622 | 0.2937 | 200 | 0.4644 | 10.5567 | 12.6651 | -113.3752 | -114.7319 | -101.8862 | -92.6861 | -1.1210 | -0.8454 |
| 0.7508 | 0.4405 | 300 | 0.4348 | 13.3686 | 14.8396 | -121.8530 | -126.0214 | -101.8862 | -92.6861 | -1.2687 | -0.9791 |
| 0.4743 | 0.5874 | 400 | 0.4292 | 15.3820 | 16.7624 | -128.4094 | -134.5913 | -101.8862 | -92.6861 | -1.2117 | -0.8992 |
| 0.7107 | 0.7342 | 500 | 0.4213 | 15.8606 | 17.0950 | -131.5918 | -138.2523 | -101.8862 | -92.6861 | -1.3378 | -1.0359 |
| 0.5423 | 0.8811 | 600 | 0.4195 | 15.8715 | 17.0771 | -132.6461 | -139.3175 | -101.8862 | -92.6861 | -1.4538 | -1.1606 |
Framework versions
- Transformers 4.51.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.21.4