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

This model is a fine-tuned version of [muhtasham/tiny-mlm-tweet_eval-from-scratch](https://huggingface.co/muhtasham/tiny-mlm-tweet_eval-from-scratch) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3264
- Precision: 0.4495
- Recall: 0.6040
- F1: 0.5154
- Accuracy: 0.9042

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.9795        | 1.14  | 500  | 0.6863          | 0.1677    | 0.1149 | 0.1364 | 0.8184   |
| 0.5811        | 2.28  | 1000 | 0.5466          | 0.2383    | 0.2763 | 0.2559 | 0.8497   |
| 0.4882        | 3.42  | 1500 | 0.4788          | 0.2979    | 0.3731 | 0.3313 | 0.8655   |
| 0.4191        | 4.56  | 2000 | 0.4295          | 0.3581    | 0.4571 | 0.4016 | 0.8806   |
| 0.3655        | 5.69  | 2500 | 0.3907          | 0.3819    | 0.5204 | 0.4405 | 0.8909   |
| 0.3269        | 6.83  | 3000 | 0.3649          | 0.4069    | 0.5451 | 0.4659 | 0.8958   |
| 0.2918        | 7.97  | 3500 | 0.3475          | 0.4203    | 0.5772 | 0.4865 | 0.8989   |
| 0.266         | 9.11  | 4000 | 0.3396          | 0.4263    | 0.5816 | 0.4920 | 0.9011   |
| 0.2457        | 10.25 | 4500 | 0.3319          | 0.4360    | 0.5867 | 0.5002 | 0.9025   |
| 0.2318        | 11.39 | 5000 | 0.3264          | 0.4495    | 0.6040 | 0.5154 | 0.9042   |


### 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-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 

tiny-mlm-tweet\_eval-from-scratch-target-conll2003
==================================================


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


* Loss: 0.3264
* Precision: 0.4495
* Recall: 0.6040
* F1: 0.5154
* Accuracy: 0.9042


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