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-3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# scenario-KD-PRE-DIV2-data-glue-cola-model-bert-base-uncased-run-3

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: 1.6455
- Matthews Correlation: 0.4109

## 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: 45
- 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  | 1.7050          | 0.3122               |
| 1.9742        | 2.0   | 536  | 1.4819          | 0.4001               |
| 1.9742        | 3.0   | 804  | 1.5774          | 0.3691               |
| 0.8501        | 4.0   | 1072 | 1.5021          | 0.3488               |
| 0.8501        | 5.0   | 1340 | 1.5295          | 0.3847               |
| 0.5776        | 6.0   | 1608 | 1.5827          | 0.3846               |
| 0.5776        | 7.0   | 1876 | 1.5487          | 0.4070               |
| 0.4738        | 8.0   | 2144 | 1.5855          | 0.3869               |
| 0.4738        | 9.0   | 2412 | 1.7678          | 0.3851               |
| 0.417         | 10.0  | 2680 | 1.4835          | 0.4353               |
| 0.417         | 11.0  | 2948 | 1.4442          | 0.4354               |
| 0.3838        | 12.0  | 3216 | 1.4922          | 0.4364               |
| 0.3838        | 13.0  | 3484 | 1.5814          | 0.4260               |
| 0.3449        | 14.0  | 3752 | 1.4614          | 0.4295               |
| 0.3229        | 15.0  | 4020 | 1.4586          | 0.4267               |
| 0.3229        | 16.0  | 4288 | 1.3903          | 0.4285               |
| 0.3082        | 17.0  | 4556 | 1.6455          | 0.4109               |


### Framework versions

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