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README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: ViT-BERT-Chess-V4
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# ViT-BERT-Chess-V4
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.3213
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 3.705         | 1.0   | 3895  | 3.5686          |
+| 3.5139        | 2.0   | 7790  | 3.4288          |
+| 3.4156        | 3.0   | 11685 | 3.3663          |
+| 3.3661        | 4.0   | 15580 | 3.3331          |
+| 3.3352        | 5.0   | 19475 | 3.3213          |
+
+
+### Framework versions
+
+- Transformers 4.20.1
+- Pytorch 1.12.0+cu116
+- Datasets 2.3.2
+- Tokenizers 0.12.1