d9d1982718
Model: W-61/qwen3-8b-base-new-dpo-ultrafeedback-4xh200-batch-128-q_t-0.43-s_star-0.4-20260429-230725 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-0.4-20260429-230725
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: 0.5897
- Fcm Dpo/beta: 0.0056
- Margin Dpo/margin Mean: 51.0513
- Margin Dpo/margin Std: 81.3439
- Logps/chosen: -321.9651
- Logps/rejected: -357.2452
- Logps/ref Chosen: -280.4167
- Logps/ref Rejected: -264.6455
- Kl/chosen Kl Mean: -41.5484
- Kl/rejected Kl Mean: -92.5997
- Kl/mean: -67.0741
- Kl/std: 70.1467
- Logits/chosen: 1.5636
- Logits/rejected: 1.6451
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 | Kl/chosen Kl Mean | Kl/mean | Kl/rejected Kl Mean | Kl/std | Fcm Dpo/beta | Logits/chosen | Logits/rejected | Logps/chosen | Logps/ref Chosen | Logps/ref Rejected | Logps/rejected | Validation Loss | Margin Dpo/margin Mean | Margin Dpo/margin Std |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 4.8732 | 0.4188 | 200 | -7.6098 | -20.6141 | -33.6184 | 36.4948 | 0.0114 | 1.5705 | 1.6149 | -288.0265 | -280.4167 | -264.6455 | -298.2639 | 0.5900 | 26.0086 | 42.7299 |
| 4.6016 | 0.8377 | 400 | 0.5897 | 0.0056 | 51.0513 | 81.3439 | -321.9651 | -357.2452 | -280.4167 | -264.6455 | -41.5484 | -92.5997 | -67.0741 | 70.1467 | 1.5636 | 1.6451 |
Framework versions
- Transformers 4.51.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.21.4