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

This model is a fine-tuned version of [muhtasham/small-mlm-glue-mnli](https://huggingface.co/muhtasham/small-mlm-glue-mnli) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3505
- Accuracy: 0.8576

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.487         | 0.15  | 500  | 0.3918          | 0.8303   |
| 0.4456        | 0.31  | 1000 | 0.3872          | 0.8312   |
| 0.423         | 0.46  | 1500 | 0.3588          | 0.8464   |
| 0.4118        | 0.61  | 2000 | 0.3692          | 0.8360   |
| 0.412         | 0.76  | 2500 | 0.3426          | 0.8514   |
| 0.3945        | 0.92  | 3000 | 0.3313          | 0.8530   |
| 0.3544        | 1.07  | 3500 | 0.3423          | 0.8578   |
| 0.3167        | 1.22  | 4000 | 0.3529          | 0.8570   |
| 0.3152        | 1.37  | 4500 | 0.3512          | 0.8569   |
| 0.3228        | 1.53  | 5000 | 0.3505          | 0.8576   |


### Framework versions

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