---
base_model: ahmedesmail16/Train-Test-Augmentation-V2-beit-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Train-Test-Augmentation-V2-beit-large
  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. -->

# Train-Test-Augmentation-V2-beit-large

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.
It achieves the following results on the evaluation set:
- Loss: 0.7562
- Accuracy: 0.8519

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0753        | 1.0   | 55   | 0.5558          | 0.8519   |
| 0.0191        | 2.0   | 110  | 0.6652          | 0.8447   |
| 0.0062        | 3.0   | 165  | 0.5826          | 0.8582   |
| 0.0018        | 4.0   | 220  | 0.7664          | 0.8408   |
| 0.001         | 5.0   | 275  | 0.7562          | 0.8519   |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.15.2