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# small-mlm-wikitext-custom-tokenizer

This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.9013

## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 200

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 7.443         | 0.4   | 500   | 7.1092          |
| 6.9585        | 0.8   | 1000  | 6.9474          |
| 6.8416        | 1.2   | 1500  | nan             |
| 6.7094        | 1.6   | 2000  | 6.6852          |
| 6.6686        | 2.0   | 2500  | 6.6998          |
| 6.5422        | 2.4   | 3000  | 6.6184          |
| 6.5449        | 2.8   | 3500  | 6.6460          |
| 6.4334        | 3.2   | 4000  | nan             |
| 6.3839        | 3.6   | 4500  | 6.4225          |
| 6.3278        | 4.0   | 5000  | 6.4024          |
| 6.264         | 4.4   | 5500  | 6.4076          |
| 6.1794        | 4.8   | 6000  | 6.3197          |
| 6.1637        | 5.2   | 6500  | 6.3163          |
| 6.091         | 5.6   | 7000  | 6.2943          |
| 6.0679        | 6.0   | 7500  | nan             |
| 6.0375        | 6.4   | 8000  | 6.1639          |
| 5.9742        | 6.8   | 8500  | 6.1480          |
| 5.9223        | 7.2   | 9000  | 6.1752          |
| 5.9037        | 7.6   | 9500  | 6.0949          |
| 5.8416        | 8.0   | 10000 | 6.0662          |
| 5.8246        | 8.4   | 10500 | 6.0426          |
| 5.7151        | 8.8   | 11000 | 5.9719          |
| 5.6765        | 9.2   | 11500 | 5.9907          |
| 5.7426        | 9.6   | 12000 | 5.9008          |
| 5.6745        | 10.0  | 12500 | 5.9193          |
| 5.6063        | 10.4  | 13000 | 5.9051          |
| 5.5536        | 10.8  | 13500 | 5.9013          |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "small-mlm-wikitext-custom-tokenizer", "results": []}]}
transformers pytorch bert fill-mask generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #fill-mask #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

small-mlm-wikitext-custom-tokenizer
===================================


This model is a fine-tuned version of google/bert\_uncased\_L-4\_H-512\_A-8 on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 5.9013


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: 3e-05
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: constant
* num\_epochs: 200


### Training results



### Framework versions


* Transformers 4.26.0.dev0
* Pytorch 1.13.0+cu116
* Datasets 2.8.1.dev0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 3e-05
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: constant
* num\_epochs: 200 ### Training results ### Framework versions


* Transformers 4.26.0.dev0
* Pytorch 1.13.0+cu116
* Datasets 2.8.1.dev0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #bert #fill-mask #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 3e-05
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: constant
* num\_epochs: 200 ### Training results ### Framework versions


* Transformers 4.26.0.dev0
* Pytorch 1.13.0+cu116
* Datasets 2.8.1.dev0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #bert #fill-mask #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 3e-05
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: constant
* num\_epochs: 200### Training results### Framework versions


* Transformers 4.26.0.dev0
* Pytorch 1.13.0+cu116
* Datasets 2.8.1.dev0
* Tokenizers 0.13.2