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

This model is a fine-tuned version of [muhtasham/small-mlm-conll2003-from-scratch-custom-tokenizer](https://huggingface.co/muhtasham/small-mlm-conll2003-from-scratch-custom-tokenizer) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3448
- Precision: 0.5713
- Recall: 0.6853
- F1: 0.6231
- Accuracy: 0.9188

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.5039        | 1.14  | 500  | 0.4083          | 0.4419    | 0.4899 | 0.4647 | 0.8780   |
| 0.3033        | 2.28  | 1000 | 0.3461          | 0.4899    | 0.5717 | 0.5276 | 0.8962   |
| 0.2307        | 3.42  | 1500 | 0.3217          | 0.4619    | 0.6373 | 0.5356 | 0.9006   |
| 0.182         | 4.56  | 2000 | 0.3198          | 0.4844    | 0.6530 | 0.5562 | 0.9045   |
| 0.1502        | 5.69  | 2500 | 0.3146          | 0.5239    | 0.6528 | 0.5813 | 0.9104   |
| 0.1265        | 6.83  | 3000 | 0.3216          | 0.4999    | 0.6755 | 0.5746 | 0.9071   |
| 0.1042        | 7.97  | 3500 | 0.3151          | 0.5320    | 0.6666 | 0.5918 | 0.9138   |
| 0.0873        | 9.11  | 4000 | 0.3378          | 0.5443    | 0.6839 | 0.6062 | 0.9139   |
| 0.0723        | 10.25 | 4500 | 0.3487          | 0.5488    | 0.6781 | 0.6066 | 0.9140   |
| 0.0636        | 11.39 | 5000 | 0.3448          | 0.5713    | 0.6853 | 0.6231 | 0.9188   |


### 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-conll2003-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-conll2003-from-scratch-custom-tokenizer-target-conll2003
==================================================================


This model is a fine-tuned version of muhtasham/small-mlm-conll2003-from-scratch-custom-tokenizer on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.3448
* Precision: 0.5713
* Recall: 0.6853
* F1: 0.6231
* Accuracy: 0.9188


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