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# tiny-mlm-tweet-target-conll2003

This model is a fine-tuned version of [muhtasham/tiny-mlm-tweet](https://huggingface.co/muhtasham/tiny-mlm-tweet) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1472
- Precision: 0.7358
- Recall: 0.8098
- F1: 0.7710
- Accuracy: 0.9568

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.754         | 1.14  | 500  | 0.4280          | 0.4589    | 0.5084 | 0.4824 | 0.8922   |
| 0.3717        | 2.28  | 1000 | 0.2900          | 0.5875    | 0.6503 | 0.6173 | 0.9240   |
| 0.2865        | 3.42  | 1500 | 0.2349          | 0.6354    | 0.7050 | 0.6684 | 0.9345   |
| 0.2358        | 4.56  | 2000 | 0.2070          | 0.6760    | 0.7400 | 0.7066 | 0.9410   |
| 0.2035        | 5.69  | 2500 | 0.1835          | 0.6966    | 0.7647 | 0.7291 | 0.9467   |
| 0.1793        | 6.83  | 3000 | 0.1702          | 0.7107    | 0.7819 | 0.7446 | 0.9501   |
| 0.1579        | 7.97  | 3500 | 0.1613          | 0.7162    | 0.7932 | 0.7527 | 0.9527   |
| 0.1408        | 9.11  | 4000 | 0.1545          | 0.7209    | 0.7940 | 0.7557 | 0.9545   |
| 0.1267        | 10.25 | 4500 | 0.1505          | 0.7391    | 0.8024 | 0.7695 | 0.9559   |
| 0.1179        | 11.39 | 5000 | 0.1472          | 0.7358    | 0.8098 | 0.7710 | 0.9568   |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "tiny-mlm-tweet-target-conll2003", "results": []}]}
transformers pytorch bert token-classification generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #token-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

tiny-mlm-tweet-target-conll2003
===============================


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


* Loss: 0.1472
* Precision: 0.7358
* Recall: 0.8098
* F1: 0.7710
* Accuracy: 0.9568


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 1.13.0+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 1.13.0+cu116
* Datasets 2.8.1.dev0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #bert #token-classification #generated_from_trainer #license-apache-2.0 #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 1.13.0+cu116
* Datasets 2.8.1.dev0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #bert #token-classification #generated_from_trainer #license-apache-2.0 #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 1.13.0+cu116
* Datasets 2.8.1.dev0
* Tokenizers 0.13.2