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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
|