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--- |
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base_model: zake7749/gemma-2-2b-it-chinese-kyara-dpo |
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library_name: peft |
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license: gemma |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: adl-hw3-gemma-ch-1 |
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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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# adl-hw3-gemma-ch-1 |
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This model is a fine-tuned version of [zake7749/gemma-2-2b-it-chinese-kyara-dpo](https://huggingface.co/zake7749/gemma-2-2b-it-chinese-kyara-dpo) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.7677 |
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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: 0.0003 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 6 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.4381 | 0.64 | 200 | 2.2165 | |
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| 1.9414 | 1.28 | 400 | 2.3546 | |
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| 1.5135 | 1.92 | 600 | 2.3314 | |
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| 0.7845 | 2.56 | 800 | 2.8106 | |
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| 0.5724 | 3.2 | 1000 | 3.4573 | |
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| 0.2391 | 3.84 | 1200 | 3.4574 | |
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| 0.1169 | 4.48 | 1400 | 3.7176 | |
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| 0.0685 | 5.12 | 1600 | 3.7769 | |
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| 0.0195 | 5.76 | 1800 | 3.7677 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.45.1 |
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- Pytorch 2.5.0+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
