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End of training
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README.md
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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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model.safetensors
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runs/May17_18-47-05_9d9171d4ccd1/events.out.tfevents.1715971627.9d9171d4ccd1.34.0
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