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--- |
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base_model: ahmedesmail16/Train-Augmentation-beit-large |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: Train-Augmentation-beit-large |
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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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# Train-Augmentation-beit-large |
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This model is a fine-tuned version of [ahmedesmail16/Train-Augmentation-beit-large](https://huggingface.co/ahmedesmail16/Train-Augmentation-beit-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8592 |
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- Accuracy: 0.8182 |
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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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- gradient_accumulation_steps: 4 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.0993 | 0.99 | 93 | 0.6675 | 0.8340 | |
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| 0.0492 | 2.0 | 187 | 0.8597 | 0.8379 | |
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| 0.0134 | 2.99 | 280 | 0.7961 | 0.8024 | |
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| 0.0016 | 4.0 | 374 | 0.7594 | 0.8340 | |
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| 0.0004 | 4.97 | 465 | 0.8592 | 0.8182 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.1 |
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- Tokenizers 0.15.2 |
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