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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: ViTGPT2_VW |
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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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# ViTGPT2_VW |
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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: 0.0771 |
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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: 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: 2 |
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- total_train_batch_size: 4 |
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- total_eval_batch_size: 4 |
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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: 1.0 |
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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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| 0.1256 | 0.03 | 1000 | 0.0928 | |
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| 0.0947 | 0.07 | 2000 | 0.0897 | |
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| 0.0889 | 0.1 | 3000 | 0.0859 | |
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| 0.0888 | 0.14 | 4000 | 0.0842 | |
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| 0.0866 | 0.17 | 5000 | 0.0831 | |
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| 0.0852 | 0.2 | 6000 | 0.0819 | |
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| 0.0833 | 0.24 | 7000 | 0.0810 | |
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| 0.0835 | 0.27 | 8000 | 0.0802 | |
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| 0.081 | 0.31 | 9000 | 0.0796 | |
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| 0.0803 | 0.34 | 10000 | 0.0789 | |
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| 0.0814 | 0.38 | 11000 | 0.0785 | |
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| 0.0799 | 0.41 | 12000 | 0.0780 | |
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| 0.0786 | 0.44 | 13000 | 0.0776 | |
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| 0.0796 | 0.48 | 14000 | 0.0771 | |
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### Framework versions |
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- Transformers 4.16.2 |
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- Pytorch 1.10.2+cu113 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.0 |
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