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

This model is a fine-tuned version of [muhtasham/tiny-mlm-wikitext-from-scratch](https://huggingface.co/muhtasham/tiny-mlm-wikitext-from-scratch) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3285
- Precision: 0.4521
- Recall: 0.6104
- F1: 0.5194
- Accuracy: 0.9045

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.9995        | 1.14  | 500  | 0.6676          | 0.1574    | 0.1503 | 0.1538 | 0.8239   |
| 0.5765        | 2.28  | 1000 | 0.5452          | 0.2558    | 0.3120 | 0.2811 | 0.8510   |
| 0.4842        | 3.42  | 1500 | 0.4775          | 0.3120    | 0.4002 | 0.3507 | 0.8660   |
| 0.4146        | 4.56  | 2000 | 0.4244          | 0.3769    | 0.4761 | 0.4208 | 0.8826   |
| 0.3612        | 5.69  | 2500 | 0.3866          | 0.3858    | 0.5226 | 0.4439 | 0.8905   |
| 0.3229        | 6.83  | 3000 | 0.3641          | 0.4154    | 0.5547 | 0.4751 | 0.8968   |
| 0.2904        | 7.97  | 3500 | 0.3482          | 0.4208    | 0.5771 | 0.4867 | 0.8992   |
| 0.2641        | 9.11  | 4000 | 0.3387          | 0.4396    | 0.5863 | 0.5025 | 0.9021   |
| 0.2431        | 10.25 | 4500 | 0.3313          | 0.4455    | 0.5953 | 0.5096 | 0.9040   |
| 0.23          | 11.39 | 5000 | 0.3285          | 0.4521    | 0.6104 | 0.5194 | 0.9045   |


### 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": "tiny-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 

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


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


* Loss: 0.3285
* Precision: 0.4521
* Recall: 0.6104
* F1: 0.5194
* Accuracy: 0.9045


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