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# scenario-TCR-data-glue-cola-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: 0.9233
- Matthews Correlation: 0.5556

## 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 | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| No log        | 1.0   | 268  | 0.4170          | 0.5507               |
| 0.3968        | 2.0   | 536  | 0.4077          | 0.5769               |
| 0.3968        | 3.0   | 804  | 0.6058          | 0.5667               |
| 0.1661        | 4.0   | 1072 | 0.8344          | 0.5396               |
| 0.1661        | 5.0   | 1340 | 0.7354          | 0.5402               |
| 0.1119        | 6.0   | 1608 | 0.7466          | 0.5593               |
| 0.1119        | 7.0   | 1876 | 0.9233          | 0.5556               |


### 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": ["matthews_correlation"], "base_model": "bert-base-uncased", "model-index": [{"name": "scenario-TCR-data-glue-cola-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