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--- |
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library_name: transformers |
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license: other |
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base_model: qnguyen3/vylinh-qwen-3b-merged |
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tags: |
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- llama-factory |
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- full |
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- generated_from_trainer |
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model-index: |
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- name: vylinh-dpo-v4 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# vylinh-dpo-v4 |
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This model is a fine-tuned version of [qnguyen3/vylinh-qwen-3b-merged](https://huggingface.co/qnguyen3/vylinh-qwen-3b-merged) on the dpo_mix_vi dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4053 |
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- Rewards/chosen: 2.9905 |
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- Rewards/rejected: -1.6223 |
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- Rewards/accuracies: 0.7143 |
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- Rewards/margins: 4.6128 |
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- Logps/rejected: -596.4308 |
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- Logps/chosen: -706.0082 |
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- Logits/rejected: -2.3770 |
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- Logits/chosen: -2.8608 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-07 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 4.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.3646 | 0.9995 | 1368 | 0.3423 | 3.0067 | 0.1768 | 0.7143 | 2.8299 | -578.4399 | -705.8457 | -2.3914 | -2.8822 | |
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| 0.1542 | 1.9996 | 2737 | 0.3495 | 2.9122 | -0.7397 | 0.75 | 3.6519 | -587.6050 | -706.7914 | -2.3921 | -2.8787 | |
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| 0.0501 | 2.9998 | 4106 | 0.3891 | 3.0809 | -1.3165 | 0.7143 | 4.3974 | -593.3735 | -705.1045 | -2.3870 | -2.8676 | |
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| 0.0124 | 3.9978 | 5472 | 0.4053 | 2.9905 | -1.6223 | 0.7143 | 4.6128 | -596.4308 | -706.0082 | -2.3770 | -2.8608 | |
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### Framework versions |
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- Transformers 4.45.2 |
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- Pytorch 2.5.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.20.1 |
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