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# small-mlm-wikitext-target-conll2003

This model is a fine-tuned version of [muhtasham/small-mlm-wikitext](https://huggingface.co/muhtasham/small-mlm-wikitext) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1116
- Precision: 0.8899
- Recall: 0.9184
- F1: 0.9039
- Accuracy: 0.9785

## 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
- training_steps: 5000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.223         | 1.14  | 500  | 0.0903          | 0.8418    | 0.8810 | 0.8609 | 0.9720   |
| 0.0741        | 2.28  | 1000 | 0.0790          | 0.8792    | 0.8999 | 0.8894 | 0.9761   |
| 0.0429        | 3.42  | 1500 | 0.0804          | 0.8822    | 0.9135 | 0.8976 | 0.9777   |
| 0.0281        | 4.56  | 2000 | 0.0827          | 0.8969    | 0.9150 | 0.9059 | 0.9789   |
| 0.0185        | 5.69  | 2500 | 0.0908          | 0.8933    | 0.9184 | 0.9057 | 0.9784   |
| 0.013         | 6.83  | 3000 | 0.0960          | 0.8871    | 0.9179 | 0.9022 | 0.9782   |
| 0.0095        | 7.97  | 3500 | 0.0975          | 0.9013    | 0.9201 | 0.9106 | 0.9793   |
| 0.0074        | 9.11  | 4000 | 0.1094          | 0.8884    | 0.9189 | 0.9034 | 0.9776   |
| 0.0059        | 10.25 | 4500 | 0.1088          | 0.8998    | 0.9185 | 0.9091 | 0.9795   |
| 0.005         | 11.39 | 5000 | 0.1116          | 0.8899    | 0.9184 | 0.9039 | 0.9785   |


### 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"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "small-mlm-wikitext-target-conll2003", "results": []}]}
transformers pytorch bert token-classification generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #token-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

small-mlm-wikitext-target-conll2003
===================================


This model is a fine-tuned version of muhtasham/small-mlm-wikitext on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.1116
* Precision: 0.8899
* Recall: 0.9184
* F1: 0.9039
* Accuracy: 0.9785


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
* training\_steps: 5000


### 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
* training\_steps: 5000 ### 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 #token-classification #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
* training\_steps: 5000 ### 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 #token-classification #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
* training\_steps: 5000### Training results### Framework versions


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