---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: MTL-bert-base-uncased
  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. -->

# MTL-bert-base-uncased

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2486

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 94   | 2.6014          |
| No log        | 2.0   | 188  | 2.3898          |
| No log        | 3.0   | 282  | 2.3706          |
| No log        | 4.0   | 376  | 2.2708          |
| No log        | 5.0   | 470  | 2.2666          |
| 2.5403        | 6.0   | 564  | 2.2639          |
| 2.5403        | 7.0   | 658  | 2.3061          |
| 2.5403        | 8.0   | 752  | 2.2659          |
| 2.5403        | 9.0   | 846  | 2.1882          |
| 2.5403        | 10.0  | 940  | 2.2198          |
| 2.2739        | 11.0  | 1034 | 2.1124          |
| 2.2739        | 12.0  | 1128 | 2.1887          |
| 2.2739        | 13.0  | 1222 | 2.1740          |
| 2.2739        | 14.0  | 1316 | 2.1517          |
| 2.2739        | 15.0  | 1410 | 2.1510          |


### Framework versions

- Transformers 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.0