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

This model is a fine-tuned version of [muhtasham/tiny-mlm-rotten_tomatoes-from-scratch-custom-tokenizer](https://huggingface.co/muhtasham/tiny-mlm-rotten_tomatoes-from-scratch-custom-tokenizer) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3866
- Precision: 0.2926
- Recall: 0.4611
- F1: 0.3580
- Accuracy: 0.8772

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 1.0779        | 1.14  | 500  | 0.7741          | 0.0628    | 0.0628 | 0.0628 | 0.7972   |
| 0.6749        | 2.28  | 1000 | 0.6240          | 0.1095    | 0.1542 | 0.1281 | 0.8198   |
| 0.5795        | 3.42  | 1500 | 0.5582          | 0.1644    | 0.2497 | 0.1983 | 0.8358   |
| 0.5224        | 4.56  | 2000 | 0.5173          | 0.1843    | 0.3007 | 0.2286 | 0.8456   |
| 0.4832        | 5.69  | 2500 | 0.4865          | 0.1964    | 0.3394 | 0.2488 | 0.8528   |
| 0.4491        | 6.83  | 3000 | 0.4519          | 0.2300    | 0.3746 | 0.2850 | 0.8621   |
| 0.4138        | 7.97  | 3500 | 0.4238          | 0.2540    | 0.4214 | 0.3170 | 0.8684   |
| 0.3843        | 9.11  | 4000 | 0.4093          | 0.2598    | 0.4313 | 0.3243 | 0.8711   |
| 0.3638        | 10.25 | 4500 | 0.3973          | 0.2734    | 0.4465 | 0.3392 | 0.8741   |
| 0.3483        | 11.39 | 5000 | 0.3866          | 0.2926    | 0.4611 | 0.3580 | 0.8772   |


### 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-custom-tokenizer-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-custom-tokenizer-target-conll2003
========================================================================


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


* Loss: 0.3866
* Precision: 0.2926
* Recall: 0.4611
* F1: 0.3580
* Accuracy: 0.8772


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