---
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-mrpc
  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-mrpc

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: 4.0034

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 4.4206        | 1.09  | 500  | 3.9467          |
| 4.3088        | 2.18  | 1000 | 3.8183          |
| 4.1805        | 3.27  | 1500 | 3.9761          |
| 4.1129        | 4.36  | 2000 | 4.0324          |
| 4.032         | 5.45  | 2500 | 3.7326          |
| 4.0162        | 6.54  | 3000 | 3.7890          |
| 3.9261        | 7.63  | 3500 | 3.7041          |
| 3.943         | 8.71  | 4000 | 3.9622          |
| 3.8852        | 9.8   | 4500 | 3.8910          |
| 3.8712        | 10.89 | 5000 | 4.0034          |


### Framework versions

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