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

This model is a fine-tuned version of [muhtasham/small-mlm-conll2003-from-scratch](https://huggingface.co/muhtasham/small-mlm-conll2003-from-scratch) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3026
- Precision: 0.6374
- Recall: 0.7129
- F1: 0.6730
- Accuracy: 0.9340

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.5707        | 1.14  | 500  | 0.3994          | 0.3895    | 0.4650 | 0.4239 | 0.8806   |
| 0.3406        | 2.28  | 1000 | 0.3272          | 0.4662    | 0.5498 | 0.5046 | 0.9016   |
| 0.257         | 3.42  | 1500 | 0.3064          | 0.4490    | 0.6331 | 0.5254 | 0.9043   |
| 0.2033        | 4.56  | 2000 | 0.2905          | 0.5185    | 0.6311 | 0.5693 | 0.9154   |
| 0.1636        | 5.69  | 2500 | 0.2773          | 0.5457    | 0.6585 | 0.5969 | 0.9213   |
| 0.1333        | 6.83  | 3000 | 0.2734          | 0.5615    | 0.6880 | 0.6183 | 0.9247   |
| 0.1072        | 7.97  | 3500 | 0.2737          | 0.5653    | 0.6863 | 0.6199 | 0.9263   |
| 0.0848        | 9.11  | 4000 | 0.2800          | 0.5913    | 0.7095 | 0.6450 | 0.9290   |
| 0.0687        | 10.25 | 4500 | 0.2878          | 0.6002    | 0.7164 | 0.6532 | 0.9302   |
| 0.0568        | 11.39 | 5000 | 0.3026          | 0.6374    | 0.7129 | 0.6730 | 0.9340   |


### 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-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-target-conll2003
=================================================


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


* Loss: 0.3026
* Precision: 0.6374
* Recall: 0.7129
* F1: 0.6730
* Accuracy: 0.9340


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