---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: tiny-mlm-glue-qnli-target-glue-mrpc
  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-target-glue-mrpc

This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-qnli](https://huggingface.co/muhtasham/tiny-mlm-glue-qnli) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3118
- Accuracy: 0.7353
- F1: 0.8176

## 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
- num_epochs: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.5845        | 4.35  | 500  | 0.5424          | 0.7402   | 0.8290 |
| 0.4395        | 8.7   | 1000 | 0.5503          | 0.7525   | 0.8374 |
| 0.2883        | 13.04 | 1500 | 0.6404          | 0.7475   | 0.8280 |
| 0.1828        | 17.39 | 2000 | 0.7736          | 0.7574   | 0.8406 |
| 0.1141        | 21.74 | 2500 | 1.0144          | 0.7255   | 0.8056 |
| 0.0816        | 26.09 | 3000 | 1.1432          | 0.7328   | 0.8180 |
| 0.0616        | 30.43 | 3500 | 1.3118          | 0.7353   | 0.8176 |


### Framework versions

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