---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
datasets:
- sst
model-index:
- name: sst-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. -->

# sst-bert-base-uncased

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the sst dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0201
- Mse: 0.0201

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Mse    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.0428        | 1.0   | 534   | 0.0218          | 0.0218 |
| 0.0169        | 2.0   | 1068  | 0.0216          | 0.0216 |
| 0.0096        | 3.0   | 1602  | 0.0231          | 0.0232 |
| 0.0066        | 4.0   | 2136  | 0.0222          | 0.0223 |
| 0.0046        | 5.0   | 2670  | 0.0220          | 0.0220 |
| 0.0035        | 6.0   | 3204  | 0.0209          | 0.0210 |
| 0.0029        | 7.0   | 3738  | 0.0226          | 0.0227 |
| 0.0025        | 8.0   | 4272  | 0.0211          | 0.0211 |
| 0.0023        | 9.0   | 4806  | 0.0207          | 0.0208 |
| 0.002         | 10.0  | 5340  | 0.0218          | 0.0218 |
| 0.0017        | 11.0  | 5874  | 0.0201          | 0.0202 |
| 0.0015        | 12.0  | 6408  | 0.0212          | 0.0212 |
| 0.0014        | 13.0  | 6942  | 0.0202          | 0.0202 |
| 0.0012        | 14.0  | 7476  | 0.0205          | 0.0206 |
| 0.0009        | 15.0  | 8010  | 0.0203          | 0.0203 |
| 0.0008        | 16.0  | 8544  | 0.0202          | 0.0202 |
| 0.0007        | 17.0  | 9078  | 0.0206          | 0.0207 |
| 0.0006        | 18.0  | 9612  | 0.0200          | 0.0200 |
| 0.0005        | 19.0  | 10146 | 0.0201          | 0.0201 |
| 0.0005        | 20.0  | 10680 | 0.0201          | 0.0201 |


### Framework versions

- Transformers 4.37.0
- Pytorch 1.13.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.2