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# small-mlm-wikitext-from-scratch-target-conll2003

This model is a fine-tuned version of [muhtasham/small-mlm-wikitext-from-scratch](https://huggingface.co/muhtasham/small-mlm-wikitext-from-scratch) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3086
- Precision: 0.5752
- Recall: 0.7120
- F1: 0.6363
- Accuracy: 0.9257

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.5989        | 1.14  | 500  | 0.4372          | 0.3407    | 0.4672 | 0.3941 | 0.8684   |
| 0.3588        | 2.28  | 1000 | 0.3477          | 0.4385    | 0.5505 | 0.4882 | 0.8945   |
| 0.2735        | 3.42  | 1500 | 0.3273          | 0.4400    | 0.6358 | 0.5201 | 0.8992   |
| 0.2173        | 4.56  | 2000 | 0.3083          | 0.5089    | 0.6141 | 0.5566 | 0.9119   |
| 0.1776        | 5.69  | 2500 | 0.3000          | 0.5235    | 0.6397 | 0.5758 | 0.9157   |
| 0.1484        | 6.83  | 3000 | 0.2900          | 0.5332    | 0.6624 | 0.5908 | 0.9184   |
| 0.1207        | 7.97  | 3500 | 0.2929          | 0.5422    | 0.6696 | 0.5992 | 0.9210   |
| 0.0988        | 9.11  | 4000 | 0.3015          | 0.5755    | 0.6770 | 0.6222 | 0.9242   |
| 0.0817        | 10.25 | 4500 | 0.3053          | 0.5528    | 0.7009 | 0.6181 | 0.9229   |
| 0.0704        | 11.39 | 5000 | 0.3086          | 0.5752    | 0.7120 | 0.6363 | 0.9257   |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2

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

small-mlm-wikitext-from-scratch-target-conll2003
================================================


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


* Loss: 0.3086
* Precision: 0.5752
* Recall: 0.7120
* F1: 0.6363
* Accuracy: 0.9257


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 1.13.1+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 1.13.1+cu116
* Datasets 2.8.1.dev0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #bert #token-classification #generated_from_trainer #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 1.13.1+cu116
* Datasets 2.8.1.dev0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #bert #token-classification #generated_from_trainer #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 1.13.1+cu116
* Datasets 2.8.1.dev0
* Tokenizers 0.13.2