---
tags:
- generated_from_trainer
model-index:
- name: char-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. -->

# char-bert-base-uncased

This model is a fine-tuned version of [char-bert-base-uncased/checkpoint-1472192](https://huggingface.co/char-bert-base-uncased/checkpoint-1472192) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1863

## 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: 32
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 0.8329        | 1.0   | 92012   | 0.4066          |
| 0.4066        | 2.0   | 184024  | 0.3223          |
| 0.3422        | 3.0   | 276036  | 0.2803          |
| 0.3044        | 4.0   | 368048  | 0.2560          |
| 0.2782        | 5.0   | 460060  | 0.2399          |
| 0.2593        | 6.0   | 552072  | 0.2265          |
| 0.2693        | 7.0   | 644084  | 0.2366          |
| 0.2559        | 8.0   | 736096  | 0.2228          |
| 0.2431        | 9.0   | 828108  | 0.2112          |
| 0.2334        | 10.0  | 920120  | 0.2103          |
| 0.2453        | 11.0  | 1012132 | 0.2164          |
| 0.2372        | 12.0  | 1104144 | 0.2113          |
| 0.2288        | 13.0  | 1196156 | 0.2004          |
| 0.2208        | 14.0  | 1288168 | 0.2002          |
| 0.2152        | 15.0  | 1380180 | 0.1941          |
| 0.2241        | 16.0  | 1472192 | 0.1940          |
| 0.2188        | 17.0  | 1564204 | 0.1954          |
| 0.2132        | 18.0  | 1656216 | 0.1968          |
| 0.2077        | 19.0  | 1748228 | 0.1887          |
| 0.2036        | 20.0  | 1840240 | 0.1863          |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.9.0+cu111
- Datasets 2.3.2
- Tokenizers 0.12.1