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# fold_3

This model is a fine-tuned version of [Amna100/PreTraining-MLM](https://huggingface.co/Amna100/PreTraining-MLM) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0085
- Precision: 0.6966
- Recall: 0.7188
- F1: 0.7075
- Accuracy: 0.9975

## 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: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.0318        | 1.0   | 635  | 0.0095          | 0.6788    | 0.5942 | 0.6337 | 0.9973   |
| 0.0114        | 2.0   | 1270 | 0.0093          | 0.6       | 0.7476 | 0.6657 | 0.9971   |
| 0.0063        | 3.0   | 1905 | 0.0085          | 0.6966    | 0.7188 | 0.7075 | 0.9975   |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "Amna100/PreTraining-MLM", "model-index": [{"name": "fold_3", "results": []}]}
transformers safetensors deberta token-classification generated_from_trainer base_model:Amna100/PreTraining-MLM license:mit autotrain_compatible endpoints_compatible region:us