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# v12p_deberta-base-finetuned-mrpc

This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3430
- Accuracy: 0.8897
- F1: 0.9223

## 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: 1.5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 56
- 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 | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 115  | 0.4883          | 0.7672   | 0.8490 |
| No log        | 2.0   | 230  | 0.3899          | 0.8186   | 0.8806 |
| No log        | 3.0   | 345  | 0.3016          | 0.8799   | 0.9130 |
| No log        | 4.0   | 460  | 0.3280          | 0.8799   | 0.9114 |
| 0.403         | 5.0   | 575  | 0.3430          | 0.8897   | 0.9223 |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.13.3

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "model-index": [{"name": "v12p_deberta-base-finetuned-mrpc", "results": []}]}
transformers pytorch tensorboard deberta text-classification generated_from_trainer license:mit autotrain_compatible endpoints_compatible region:us