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

This model is a fine-tuned version of [muhtasham/tiny-mlm-rotten_tomatoes-from-scratch](https://huggingface.co/muhtasham/tiny-mlm-rotten_tomatoes-from-scratch) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3273
- Precision: 0.4485
- Recall: 0.6124
- F1: 0.5178
- Accuracy: 0.9043

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 1.0073        | 1.14  | 500  | 0.6977          | 0.2294    | 0.1414 | 0.1749 | 0.8160   |
| 0.5898        | 2.28  | 1000 | 0.5510          | 0.2488    | 0.2842 | 0.2654 | 0.8478   |
| 0.5001        | 3.42  | 1500 | 0.4898          | 0.3060    | 0.3724 | 0.3359 | 0.8610   |
| 0.439         | 4.56  | 2000 | 0.4415          | 0.3554    | 0.4377 | 0.3923 | 0.8757   |
| 0.3893        | 5.69  | 2500 | 0.4050          | 0.3638    | 0.4864 | 0.4162 | 0.8847   |
| 0.352         | 6.83  | 3000 | 0.3792          | 0.3903    | 0.5226 | 0.4468 | 0.8913   |
| 0.3169        | 7.97  | 3500 | 0.3567          | 0.4060    | 0.5613 | 0.4712 | 0.8956   |
| 0.2884        | 9.11  | 4000 | 0.3452          | 0.4174    | 0.5865 | 0.4877 | 0.8982   |
| 0.264         | 10.25 | 4500 | 0.3346          | 0.4316    | 0.5899 | 0.4985 | 0.9012   |
| 0.2502        | 11.39 | 5000 | 0.3273          | 0.4485    | 0.6124 | 0.5178 | 0.9043   |


### 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-rotten_tomatoes-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-rotten\_tomatoes-from-scratch-target-conll2003
=======================================================


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


* Loss: 0.3273
* Precision: 0.4485
* Recall: 0.6124
* F1: 0.5178
* Accuracy: 0.9043


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