---
license: apache-2.0
tags:
- generated_from_trainer
base_model: google/bert_uncased_L-2_H-128_A-2
model-index:
- name: tiny-mlm-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. -->

# tiny-mlm-glue-mnli

This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co./google/bert_uncased_L-2_H-128_A-2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.9722

## 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
- num_epochs: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.4196        | 0.4   | 500  | 3.9829          |
| 4.3712        | 0.8   | 1000 | 4.0000          |
| 4.3439        | 1.2   | 1500 | 3.9642          |
| 4.2725        | 1.6   | 2000 | 3.9736          |
| 4.2908        | 2.0   | 2500 | 3.9309          |
| 4.1935        | 2.4   | 3000 | 3.9395          |
| 4.1935        | 2.8   | 3500 | 3.9470          |
| 4.1731        | 3.2   | 4000 | 3.9722          |


### Framework versions

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