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---
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-1840240](https://huggingface.co/char-bert-base-uncased/checkpoint-1840240) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1760
## 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: 25
### 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 |
| 0.2109 | 21.0 | 1932252 | 0.2009 |
| 0.2075 | 22.0 | 2024264 | 0.1840 |
| 0.2031 | 23.0 | 2116276 | 0.1884 |
| 0.1992 | 24.0 | 2208288 | 0.1902 |
| 0.196 | 25.0 | 2300300 | 0.1760 |
### Framework versions
- Transformers 4.20.1
- Pytorch 1.9.0+cu111
- Datasets 2.3.2
- Tokenizers 0.12.1
|