---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: muhtasham/small-mlm-glue-qnli
model-index:
- name: small-mlm-glue-qnli-target-glue-sst2
  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-sst2

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: 0.4217
- Accuracy: 0.8716

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3912        | 0.24  | 500  | 0.3462          | 0.8406   |
| 0.3049        | 0.48  | 1000 | 0.3246          | 0.8544   |
| 0.2574        | 0.71  | 1500 | 0.3264          | 0.8739   |
| 0.2381        | 0.95  | 2000 | 0.2983          | 0.8807   |
| 0.1836        | 1.19  | 2500 | 0.3447          | 0.8784   |
| 0.1681        | 1.43  | 3000 | 0.3553          | 0.8819   |
| 0.1656        | 1.66  | 3500 | 0.3758          | 0.8784   |
| 0.1701        | 1.9   | 4000 | 0.3134          | 0.8991   |
| 0.1337        | 2.14  | 4500 | 0.5031          | 0.8521   |
| 0.1232        | 2.38  | 5000 | 0.4217          | 0.8716   |


### Framework versions

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