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-PRE-DIV2-data-glue-cola-model-bert-base-uncased-run-1
  results: []
---

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# scenario-KD-PRE-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: 1.4621
- Matthews Correlation: 0.4142

## 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  | 1.6310          | 0.3245               |
| 1.9314        | 2.0   | 536  | 1.5673          | 0.3383               |
| 1.9314        | 3.0   | 804  | 1.6391          | 0.3537               |
| 0.8295        | 4.0   | 1072 | 1.4631          | 0.4067               |
| 0.8295        | 5.0   | 1340 | 1.5088          | 0.3975               |
| 0.582         | 6.0   | 1608 | 1.5547          | 0.3883               |
| 0.582         | 7.0   | 1876 | 1.7097          | 0.3389               |
| 0.4812        | 8.0   | 2144 | 1.4809          | 0.4256               |
| 0.4812        | 9.0   | 2412 | 1.7501          | 0.4018               |
| 0.4321        | 10.0  | 2680 | 1.8980          | 0.3820               |
| 0.4321        | 11.0  | 2948 | 1.6003          | 0.4069               |
| 0.3871        | 12.0  | 3216 | 1.4882          | 0.3934               |
| 0.3871        | 13.0  | 3484 | 1.4621          | 0.4142               |


### Framework versions

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