---
library_name: transformers
license: cc-by-nc-4.0
base_model: ahmedmohamed55/checkpoints
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: checkpoints
  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. -->

# checkpoints

This model is a fine-tuned version of [ahmedmohamed55/checkpoints](https://huggingface.co/ahmedmohamed55/checkpoints) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1487
- Accuracy: 0.9913
- Precision: 0.9821
- Recall: 0.9781
- F1: 0.9795

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| No log        | 1.0   | 458  | 0.1666          | 0.9803   | 0.9574    | 0.9553 | 0.9534 |
| 0.3261        | 2.0   | 916  | 0.1540          | 0.9891   | 0.9806    | 0.9722 | 0.9762 |
| 0.0261        | 3.0   | 1374 | 0.1243          | 0.9913   | 0.9821    | 0.9781 | 0.9795 |
| 0.0002        | 4.0   | 1832 | 0.1403          | 0.9913   | 0.9821    | 0.9781 | 0.9795 |
| 0.0000        | 5.0   | 2290 | 0.1418          | 0.9913   | 0.9821    | 0.9781 | 0.9795 |
| 0.0000        | 6.0   | 2748 | 0.1441          | 0.9913   | 0.9821    | 0.9781 | 0.9795 |
| 0.0000        | 7.0   | 3206 | 0.1459          | 0.9913   | 0.9821    | 0.9781 | 0.9795 |
| 0.0000        | 8.0   | 3664 | 0.1474          | 0.9913   | 0.9821    | 0.9781 | 0.9795 |
| 0.0000        | 9.0   | 4122 | 0.1483          | 0.9913   | 0.9821    | 0.9781 | 0.9795 |
| 0.0000        | 10.0  | 4580 | 0.1487          | 0.9913   | 0.9821    | 0.9781 | 0.9795 |


### Framework versions

- Transformers 5.13.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2