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# djibri/mri_classifier

This model is a fine-tuned version of [djibri/mri_classifier](https://huggingface.co/djibri/mri_classifier) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.7116
- Validation Loss: 0.7235
- Train Accuracy: 0.6880
- Epoch: 19

## 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:
- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.001, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 1.1610     | 0.9961          | 0.5301         | 0     |
| 1.0175     | 1.0906          | 0.5408         | 1     |
| 0.9817     | 1.1593          | 0.5324         | 2     |
| 0.9390     | 0.9281          | 0.5957         | 3     |
| 0.8854     | 0.9142          | 0.5934         | 4     |
| 0.8572     | 0.8900          | 0.5652         | 5     |
| 0.8584     | 0.8369          | 0.6056         | 6     |
| 0.8174     | 0.8710          | 0.5812         | 7     |
| 0.8190     | 0.8142          | 0.6209         | 8     |
| 0.7977     | 0.8600          | 0.5774         | 9     |
| 0.8046     | 0.8344          | 0.5988         | 10    |
| 0.7905     | 0.7853          | 0.6568         | 11    |
| 0.7773     | 0.9653          | 0.5728         | 12    |
| 0.7825     | 0.7865          | 0.6217         | 13    |
| 0.7833     | 0.8118          | 0.6575         | 14    |
| 0.7693     | 0.8081          | 0.6484         | 15    |
| 0.7503     | 0.7707          | 0.6690         | 16    |
| 0.7425     | 0.7434          | 0.6903         | 17    |
| 0.7700     | 0.7249          | 0.7109         | 18    |
| 0.7116     | 0.7235          | 0.6880         | 19    |


### Framework versions

- Transformers 4.47.0
- TensorFlow 2.17.1
- Datasets 3.3.1
- Tokenizers 0.21.0

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