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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: ViT-BERT-Chess-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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# ViT-BERT-Chess-V4 |
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.3213 |
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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: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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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: 5 |
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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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| 3.705 | 1.0 | 3895 | 3.5686 | |
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| 3.5139 | 2.0 | 7790 | 3.4288 | |
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| 3.4156 | 3.0 | 11685 | 3.3663 | |
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| 3.3661 | 4.0 | 15580 | 3.3331 | |
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| 3.3352 | 5.0 | 19475 | 3.3213 | |
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### Framework versions |
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- Transformers 4.20.1 |
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- Pytorch 1.12.0+cu116 |
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- Datasets 2.3.2 |
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- Tokenizers 0.12.1 |
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