transformers safetensors bert generated_from_trainer base_model:bert-base-uncased license:apache-2.0 endpoints_compatible region:us
---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: scenario-KD-SCR-DIV2-data-glue-cola-model-bert-base-uncased-run-2
  results: []
---

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# scenario-KD-SCR-DIV2-data-glue-cola-model-bert-base-uncased-run-2

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: 1.4366
- Matthews Correlation: 0.4244

## 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: 43
- 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  | 1.6473          | 0.3280               |
| 1.976         | 2.0   | 536  | 1.5105          | 0.3499               |
| 1.976         | 3.0   | 804  | 1.4927          | 0.4004               |
| 0.8414        | 4.0   | 1072 | 1.5672          | 0.3973               |
| 0.8414        | 5.0   | 1340 | 1.6105          | 0.4229               |
| 0.5794        | 6.0   | 1608 | 1.6827          | 0.4007               |
| 0.5794        | 7.0   | 1876 | 1.5337          | 0.4081               |
| 0.487         | 8.0   | 2144 | 1.4780          | 0.4105               |
| 0.487         | 9.0   | 2412 | 1.3875          | 0.4428               |
| 0.4255        | 10.0  | 2680 | 1.4100          | 0.4233               |
| 0.4255        | 11.0  | 2948 | 1.5278          | 0.3953               |
| 0.3824        | 12.0  | 3216 | 1.5769          | 0.4134               |
| 0.3824        | 13.0  | 3484 | 1.5087          | 0.4193               |
| 0.3477        | 14.0  | 3752 | 1.4366          | 0.4244               |


### Framework versions

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