safetensors generated_from_trainer dataset:glue base_model:bert-base-uncased license:apache-2.0 region:us
---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-cola-ia3-epochs-10-lr-0.005
  results: []
---

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# bert-base-uncased-cola-ia3-epochs-10-lr-0.005

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5629
- Matthews Correlation: 0.6581

## 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: 0.005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 28
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| No log        | 1.0   | 265  | 1.1553          | 0.0                  |
| 0.5185        | 2.0   | 530  | 0.4625          | 0.5371               |
| 0.5185        | 3.0   | 795  | 0.4338          | 0.5358               |
| 0.3527        | 4.0   | 1060 | 0.4328          | 0.5687               |
| 0.3527        | 5.0   | 1325 | 0.4262          | 0.6581               |
| 0.2755        | 6.0   | 1590 | 0.5488          | 0.6094               |
| 0.2755        | 7.0   | 1855 | 0.5902          | 0.5429               |
| 0.2141        | 8.0   | 2120 | 0.5433          | 0.5871               |
| 0.2141        | 9.0   | 2385 | 0.5282          | 0.6347               |
| 0.1874        | 10.0  | 2650 | 0.5629          | 0.6581               |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3
