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

This model is a fine-tuned version of [muhtasham/tiny-mlm-conll2003-from-scratch](https://huggingface.co/muhtasham/tiny-mlm-conll2003-from-scratch) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3255
- Precision: 0.4607
- Recall: 0.6060
- F1: 0.5234
- Accuracy: 0.9053

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 1.0233        | 1.14  | 500  | 0.6786          | 0.1712    | 0.1419 | 0.1552 | 0.8249   |
| 0.5801        | 2.28  | 1000 | 0.5489          | 0.2545    | 0.2928 | 0.2723 | 0.8497   |
| 0.4936        | 3.42  | 1500 | 0.4847          | 0.3008    | 0.3612 | 0.3282 | 0.8619   |
| 0.4297        | 4.56  | 2000 | 0.4325          | 0.3697    | 0.4478 | 0.4050 | 0.8785   |
| 0.3753        | 5.69  | 2500 | 0.3901          | 0.3922    | 0.5126 | 0.4444 | 0.8892   |
| 0.3337        | 6.83  | 3000 | 0.3638          | 0.4135    | 0.5401 | 0.4684 | 0.8958   |
| 0.2989        | 7.97  | 3500 | 0.3460          | 0.4300    | 0.5786 | 0.4934 | 0.8993   |
| 0.2716        | 9.11  | 4000 | 0.3359          | 0.4375    | 0.5890 | 0.5021 | 0.9022   |
| 0.2493        | 10.25 | 4500 | 0.3320          | 0.4489    | 0.5867 | 0.5086 | 0.9035   |
| 0.2374        | 11.39 | 5000 | 0.3255          | 0.4607    | 0.6060 | 0.5234 | 0.9053   |


### 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-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 

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


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


* Loss: 0.3255
* Precision: 0.4607
* Recall: 0.6060
* F1: 0.5234
* Accuracy: 0.9053


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