---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: small-mlm-glue-qnli-target-glue-qnli
  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. -->

# small-mlm-glue-qnli-target-glue-qnli

This model is a fine-tuned version of [muhtasham/small-mlm-glue-qnli](https://huggingface.co/muhtasham/small-mlm-glue-qnli) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3483
- Accuracy: 0.8598

## 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4857        | 0.15  | 500  | 0.3911          | 0.8305   |
| 0.444         | 0.31  | 1000 | 0.3833          | 0.8318   |
| 0.421         | 0.46  | 1500 | 0.3587          | 0.8433   |
| 0.4119        | 0.61  | 2000 | 0.3669          | 0.8400   |
| 0.4098        | 0.76  | 2500 | 0.3444          | 0.8451   |
| 0.3909        | 0.92  | 3000 | 0.3305          | 0.8558   |
| 0.3535        | 1.07  | 3500 | 0.3413          | 0.8591   |
| 0.3168        | 1.22  | 4000 | 0.3438          | 0.8622   |
| 0.312         | 1.37  | 4500 | 0.3583          | 0.8539   |
| 0.3183        | 1.53  | 5000 | 0.3483          | 0.8598   |


### Framework versions

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