4efda549c2
Model: jackf857/qwen3-8b-base-margin-dpo-hh-harmless-4xh200-batch-64-20260423-234249 Source: Original Platform
library_name, base_model, tags, datasets, model-index
| library_name | base_model | tags | datasets | model-index | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| transformers | jackf857/qwen3-8b-base-sft-hh-harmless-4xh200-batch-64-20260417-214452 |
|
|
|
qwen3-8b-base-margin-dpo-hh-harmless-4xh200-batch-64-20260423-234249
This model is a fine-tuned version of jackf857/qwen3-8b-base-sft-hh-harmless-4xh200-batch-64-20260417-214452 on the Anthropic/hh-rlhf dataset. It achieves the following results on the evaluation set:
- Loss: 0.5180
- Margin Dpo/margin Mean: 7.8948
- Margin Dpo/margin Std: 11.6820
- Logps/chosen: -90.0938
- Logps/rejected: -105.9037
- Logps/ref Chosen: -87.3172
- Logps/ref Rejected: -95.2323
- Logits/chosen: 1.4433
- Logits/rejected: 1.3188
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.3236 | 0.1512 | 100 | 0.6540 | 0.9206 | 1.8427 | -86.6428 | -95.4785 | -87.3172 | -95.2323 | 1.6973 | 1.5878 |
| 1.1498 | 0.3023 | 200 | 0.5566 | 5.3407 | 9.0153 | -88.1022 | -101.3580 | -87.3172 | -95.2323 | 1.4121 | 1.2978 |
| 1.1522 | 0.4535 | 300 | 0.5328 | 7.2941 | 11.5055 | -91.8542 | -107.0635 | -87.3172 | -95.2323 | 1.4997 | 1.3738 |
| 1.2091 | 0.6047 | 400 | 0.5248 | 7.2854 | 11.1368 | -89.2882 | -104.4887 | -87.3172 | -95.2323 | 1.4582 | 1.3356 |
| 1.0214 | 0.7559 | 500 | 0.5192 | 8.0772 | 11.9903 | -90.4015 | -106.3938 | -87.3172 | -95.2323 | 1.7114 | 1.5744 |
| 1.1318 | 0.9070 | 600 | 0.5180 | 7.8948 | 11.6820 | -90.0938 | -105.9037 | -87.3172 | -95.2323 | 1.4433 | 1.3188 |
Framework versions
- Transformers 4.51.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.21.4