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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-Test-Augmentation-V2-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-Test-Augmentation-V2-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-Test-Augmentation-V2-beit-large
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This model is a fine-tuned version of [ahmedesmail16/Train-Test-Augmentation-V2-beit-large](https://huggingface.co/ahmedesmail16/Train-Test-Augmentation-V2-beit-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7562
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- Accuracy: 0.8519
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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: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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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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| 0.0753 | 1.0 | 55 | 0.5558 | 0.8519 |
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| 0.0191 | 2.0 | 110 | 0.6652 | 0.8447 |
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| 0.0062 | 3.0 | 165 | 0.5826 | 0.8582 |
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| 0.0018 | 4.0 | 220 | 0.7664 | 0.8408 |
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| 0.001 | 5.0 | 275 | 0.7562 | 0.8519 |
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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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