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

This model is a fine-tuned version of [muhtasham/small-mlm-wikitext-from-scratch-custom-tokenizer](https://huggingface.co/muhtasham/small-mlm-wikitext-from-scratch-custom-tokenizer) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3135
- Precision: 0.5394
- Recall: 0.6932
- F1: 0.6067
- Accuracy: 0.9205

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.6115        | 1.14  | 500  | 0.4596          | 0.2964    | 0.4574 | 0.3597 | 0.8598   |
| 0.3787        | 2.28  | 1000 | 0.3634          | 0.3690    | 0.5017 | 0.4252 | 0.8889   |
| 0.293         | 3.42  | 1500 | 0.3407          | 0.3956    | 0.5751 | 0.4688 | 0.8944   |
| 0.238         | 4.56  | 2000 | 0.3159          | 0.4337    | 0.5774 | 0.4953 | 0.9034   |
| 0.1975        | 5.69  | 2500 | 0.3061          | 0.4729    | 0.6033 | 0.5302 | 0.9104   |
| 0.1655        | 6.83  | 3000 | 0.3045          | 0.4851    | 0.6427 | 0.5529 | 0.9128   |
| 0.1392        | 7.97  | 3500 | 0.2934          | 0.5052    | 0.6508 | 0.5688 | 0.9170   |
| 0.1127        | 9.11  | 4000 | 0.3047          | 0.5228    | 0.6781 | 0.5904 | 0.9184   |
| 0.0945        | 10.25 | 4500 | 0.3047          | 0.5471    | 0.6712 | 0.6028 | 0.9234   |
| 0.0802        | 11.39 | 5000 | 0.3135          | 0.5394    | 0.6932 | 0.6067 | 0.9205   |


### 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-custom-tokenizer-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-custom-tokenizer-target-conll2003
=================================================================


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


* Loss: 0.3135
* Precision: 0.5394
* Recall: 0.6932
* F1: 0.6067
* Accuracy: 0.9205


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