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

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: 0.6485
- Accuracy: 0.7301

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.9061        | 0.04  | 500  | 0.8129          | 0.6436   |
| 0.8051        | 0.08  | 1000 | 0.7717          | 0.6652   |
| 0.7687        | 0.12  | 1500 | 0.7466          | 0.6765   |
| 0.7454        | 0.16  | 2000 | 0.7259          | 0.6920   |
| 0.7392        | 0.2   | 2500 | 0.7105          | 0.6953   |
| 0.7297        | 0.24  | 3000 | 0.6978          | 0.6995   |
| 0.7117        | 0.29  | 3500 | 0.6829          | 0.7105   |
| 0.7004        | 0.33  | 4000 | 0.6710          | 0.7146   |
| 0.6787        | 0.37  | 4500 | 0.6734          | 0.7186   |
| 0.6787        | 0.41  | 5000 | 0.6485          | 0.7301   |


### Framework versions

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