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

This model is a fine-tuned version of [muhtasham/small-mlm-tweet_eval-from-scratch](https://huggingface.co/muhtasham/small-mlm-tweet_eval-from-scratch) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2818
- Precision: 0.6288
- Recall: 0.7415
- F1: 0.6805
- Accuracy: 0.9349

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.6126        | 1.14  | 500  | 0.4262          | 0.3594    | 0.4480 | 0.3988 | 0.8717   |
| 0.3588        | 2.28  | 1000 | 0.3324          | 0.4554    | 0.5830 | 0.5113 | 0.8995   |
| 0.2618        | 3.42  | 1500 | 0.3179          | 0.4530    | 0.6437 | 0.5318 | 0.8997   |
| 0.204         | 4.56  | 2000 | 0.2764          | 0.5381    | 0.6424 | 0.5857 | 0.9177   |
| 0.162         | 5.69  | 2500 | 0.2695          | 0.5752    | 0.6658 | 0.6172 | 0.9244   |
| 0.13          | 6.83  | 3000 | 0.2556          | 0.5682    | 0.7035 | 0.6287 | 0.9260   |
| 0.1027        | 7.97  | 3500 | 0.2557          | 0.5946    | 0.7220 | 0.6521 | 0.9294   |
| 0.0811        | 9.11  | 4000 | 0.2638          | 0.6097    | 0.7154 | 0.6584 | 0.9325   |
| 0.0648        | 10.25 | 4500 | 0.2745          | 0.6105    | 0.7324 | 0.6659 | 0.9325   |
| 0.0533        | 11.39 | 5000 | 0.2818          | 0.6288    | 0.7415 | 0.6805 | 0.9349   |


### 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-tweet_eval-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-tweet\_eval-from-scratch-target-conll2003
===================================================


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


* Loss: 0.2818
* Precision: 0.6288
* Recall: 0.7415
* F1: 0.6805
* Accuracy: 0.9349


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