---
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: tiny-mlm-glue-qnli-from-scratch-custom-tokenizer-target-glue-cola
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# tiny-mlm-glue-qnli-from-scratch-custom-tokenizer-target-glue-cola

This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-qnli-from-scratch-custom-tokenizer](https://huggingface.co/muhtasham/tiny-mlm-glue-qnli-from-scratch-custom-tokenizer) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8016
- Matthews Correlation: 0.0716

## 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: 3e-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: constant
- training_steps: 5000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.6104        | 1.87  | 500  | 0.6207          | 0.0                  |
| 0.6069        | 3.73  | 1000 | 0.6185          | 0.0                  |
| 0.5994        | 5.6   | 1500 | 0.6141          | -0.0207              |
| 0.5555        | 7.46  | 2000 | 0.6537          | 0.0485               |
| 0.5134        | 9.33  | 2500 | 0.6886          | 0.0900               |
| 0.4922        | 11.19 | 3000 | 0.6950          | 0.0998               |
| 0.4643        | 13.06 | 3500 | 0.7414          | 0.1108               |
| 0.4497        | 14.93 | 4000 | 0.7671          | 0.0889               |
| 0.4315        | 16.79 | 4500 | 0.7826          | 0.0760               |
| 0.421         | 18.66 | 5000 | 0.8016          | 0.0716               |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2