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

This model is a fine-tuned version of [muhtasham/small-mlm-glue-mrpc-custom-tokenizer](https://huggingface.co/muhtasham/small-mlm-glue-mrpc-custom-tokenizer) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4493
- Accuracy: 0.7986

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5672        | 0.15  | 500  | 0.4950          | 0.7650   |
| 0.532         | 0.31  | 1000 | 0.4894          | 0.7710   |
| 0.5191        | 0.46  | 1500 | 0.5007          | 0.7681   |
| 0.5102        | 0.61  | 2000 | 0.4682          | 0.7873   |
| 0.5033        | 0.76  | 2500 | 0.4596          | 0.7897   |
| 0.4975        | 0.92  | 3000 | 0.4537          | 0.7908   |
| 0.4751        | 1.07  | 3500 | 0.4637          | 0.7900   |
| 0.4547        | 1.22  | 4000 | 0.5252          | 0.7717   |
| 0.45          | 1.37  | 4500 | 0.4494          | 0.8003   |
| 0.454         | 1.53  | 5000 | 0.4493          | 0.7986   |


### Framework versions

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