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# scenario-KD-SCR-DIV2-data-glue-cola-model-bert-base-uncased-run-1

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: 1.5280
- Matthews Correlation: 0.4078

## 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  | 1.6564          | 0.3160               |
| 1.9639        | 2.0   | 536  | 1.5328          | 0.3854               |
| 1.9639        | 3.0   | 804  | 1.5918          | 0.3764               |
| 0.856         | 4.0   | 1072 | 1.4955          | 0.3883               |
| 0.856         | 5.0   | 1340 | 1.5228          | 0.4111               |
| 0.5867        | 6.0   | 1608 | 1.6152          | 0.4004               |
| 0.5867        | 7.0   | 1876 | 1.6561          | 0.3902               |
| 0.4791        | 8.0   | 2144 | 1.5451          | 0.4333               |
| 0.4791        | 9.0   | 2412 | 1.5531          | 0.4039               |
| 0.4234        | 10.0  | 2680 | 1.6425          | 0.4206               |
| 0.4234        | 11.0  | 2948 | 1.5133          | 0.4159               |
| 0.3822        | 12.0  | 3216 | 1.6780          | 0.3733               |
| 0.3822        | 13.0  | 3484 | 1.4855          | 0.4410               |
| 0.3507        | 14.0  | 3752 | 1.5584          | 0.3994               |
| 0.3257        | 15.0  | 4020 | 1.5673          | 0.4261               |
| 0.3257        | 16.0  | 4288 | 1.5923          | 0.3997               |
| 0.3046        | 17.0  | 4556 | 1.4803          | 0.4051               |
| 0.3046        | 18.0  | 4824 | 1.5280          | 0.4078               |


### 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-KD-SCR-DIV2-data-glue-cola-model-bert-base-uncased-run-1", "results": []}]}
transformers safetensors bert generated_from_trainer base_model:bert-base-uncased license:apache-2.0 endpoints_compatible region:us