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# camemBert_sentiment_final

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8143
- Accuracy: 0.7469

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 115  | 0.7380          | 0.7438   |
| No log        | 2.0   | 230  | 0.6989          | 0.75     |
| No log        | 3.0   | 345  | 0.7765          | 0.7407   |
| No log        | 4.0   | 460  | 0.8128          | 0.7407   |
| 0.3586        | 5.0   | 575  | 0.8143          | 0.7469   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "camemBert_sentiment_final", "results": []}]}
transformers tensorboard safetensors camembert text-classification generated_from_trainer autotrain_compatible endpoints_compatible region:us