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# 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

{"tags": ["generated_from_trainer"], "model-index": [{"name": "char-bert-base-uncased", "results": []}]}
transformers pytorch bert fill-mask generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #fill-mask #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 

char-bert-base-uncased
======================


This model is a fine-tuned version of 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



### Framework versions


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



### 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 ### Framework versions


* Transformers 4.20.1
* Pytorch 1.9.0+cu111
* Datasets 2.3.2
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #bert #fill-mask #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
 ### 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 ### Framework versions


* Transformers 4.20.1
* Pytorch 1.9.0+cu111
* Datasets 2.3.2
* Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #bert #fill-mask #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
### 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### Framework versions


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