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# scenario-TCR-data-glue-mrpc-model-bert-base-uncased

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8418
- Accuracy: 0.8431
- F1: 0.8869

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6969

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 115  | 0.3798          | 0.8578   | 0.8945 |
| No log        | 2.0   | 230  | 0.4539          | 0.8113   | 0.8752 |
| No log        | 3.0   | 345  | 0.4868          | 0.8309   | 0.8852 |
| No log        | 4.0   | 460  | 0.7806          | 0.8333   | 0.8745 |
| 0.2296        | 5.0   | 575  | 0.6896          | 0.8627   | 0.9028 |
| 0.2296        | 6.0   | 690  | 1.1197          | 0.8235   | 0.8788 |
| 0.2296        | 7.0   | 805  | 0.9408          | 0.8456   | 0.8930 |
| 0.2296        | 8.0   | 920  | 0.9377          | 0.8284   | 0.8805 |
| 0.0295        | 9.0   | 1035 | 1.0580          | 0.8137   | 0.8770 |
| 0.0295        | 10.0  | 1150 | 0.8418          | 0.8431   | 0.8869 |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "bert-base-uncased", "model-index": [{"name": "scenario-TCR-data-glue-mrpc-model-bert-base-uncased", "results": []}]}
transformers safetensors bert text-classification generated_from_trainer base_model:bert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us