66a4e63baa
Model: W-61/qwen3-8b-base-new-dpo-ultrafeedback-4xh200-batch-128-q_t-0.43-s_star-0.3-20260430-192039 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-ultrachat-4xh200-batch-128 |
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qwen3-8b-base-new-dpo-ultrafeedback-4xh200-batch-128-q_t-0.43-s_star-0.3-20260430-192039
This model is a fine-tuned version of jackf857/qwen3-8b-base-sft-ultrachat-4xh200-batch-128 on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:
- Loss: 0.6224
- Fcm Dpo/beta: 0.0031
- Margin Dpo/margin Mean: 56.3627
- Margin Dpo/margin Std: 92.2484
- Logps/chosen: -335.0146
- Logps/rejected: -375.6061
- Logps/ref Chosen: -280.4167
- Logps/ref Rejected: -264.6455
- Kl/chosen Kl Mean: -54.5979
- Kl/rejected Kl Mean: -110.9605
- Kl/mean: -82.7792
- Kl/std: 78.7418
- Logits/chosen: 1.4414
- Logits/rejected: 1.5117
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: 4
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 8
- 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 | Fcm Dpo/beta | Margin Dpo/margin Mean | Margin Dpo/margin Std | Logps/chosen | Logps/rejected | Logps/ref Chosen | Logps/ref Rejected | Kl/chosen Kl Mean | Kl/rejected Kl Mean | Kl/mean | Kl/std | Logits/chosen | Logits/rejected |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 5.0021 | 0.4188 | 200 | 0.6115 | 0.0077 | 26.9732 | 43.4142 | -286.9713 | -298.1733 | -280.4167 | -264.6455 | -6.5546 | -33.5278 | -20.0412 | 37.3613 | 1.5835 | 1.6292 |
| 4.8925 | 0.8377 | 400 | 0.6224 | 0.0031 | 56.3627 | 92.2484 | -335.0146 | -375.6061 | -280.4167 | -264.6455 | -54.5979 | -110.9605 | -82.7792 | 78.7418 | 1.4414 | 1.5117 |
Framework versions
- Transformers 4.51.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.21.4