---
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: muhtasham/tiny-mlm-glue-cola-from-scratch-custom-tokenizer
model-index:
- name: tiny-mlm-glue-cola-from-scratch-custom-tokenizer-target-glue-rte
  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. -->

# tiny-mlm-glue-cola-from-scratch-custom-tokenizer-target-glue-rte

This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-cola-from-scratch-custom-tokenizer](https://huggingface.co/muhtasham/tiny-mlm-glue-cola-from-scratch-custom-tokenizer) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9954
- Accuracy: 0.4729

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.693         | 6.41  | 500  | 0.6947          | 0.4549   |
| 0.6248        | 12.82 | 1000 | 0.8627          | 0.4729   |
| 0.4602        | 19.23 | 1500 | 1.1278          | 0.4657   |
| 0.3484        | 25.64 | 2000 | 1.3214          | 0.4801   |
| 0.2599        | 32.05 | 2500 | 1.6232          | 0.4693   |
| 0.2052        | 38.46 | 3000 | 1.7684          | 0.4801   |
| 0.1667        | 44.87 | 3500 | 1.9954          | 0.4729   |


### Framework versions

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