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--- |
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base_model: google/gemma-2-2b |
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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: gemma-2-2b-chess |
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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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# gemma-2-2b-chess |
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This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b). |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0489 |
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[gemma-2-2b-chess-adapter](https://huggingface.co/diabolic6045/gemma-2-2b-chess-adapter) |
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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-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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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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- num_epochs: 1 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.0562 | 0.3959 | 500 | 1.0697 | |
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| 1.0272 | 0.7918 | 1000 | 1.0489 | |
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<div style="display: flex; justify-content: space-around;"> |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64020d3e82bbdfe4b7c46cc9/6jiB_BWuLXZ1AXi1Icn6k.png" alt="UI Image 1" style="width: 85%;height: 75%;"/></div> |
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<div style="display: flex; justify-content: space-around;"> |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64020d3e82bbdfe4b7c46cc9/uAUcRCSvvIydrC6KkW5Hq.png" alt="UI Image 2" style="width: 85%;height: 75%;"/></div> |
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<div style="display: flex; justify-content: space-around;"> |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64020d3e82bbdfe4b7c46cc9/Yp-E3C062ekk78PlR9SjA.png" alt="UI Image 2" style="width: 85%;height: 75%;"/></div> |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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