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

This model is a fine-tuned version of [muhtasham/small-mlm-rotten_tomatoes-from-scratch-custom-tokenizer](https://huggingface.co/muhtasham/small-mlm-rotten_tomatoes-from-scratch-custom-tokenizer) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3065
- Precision: 0.5377
- Recall: 0.6510
- F1: 0.5890
- Accuracy: 0.9171

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.6635        | 1.14  | 500  | 0.4842          | 0.2323    | 0.3435 | 0.2771 | 0.8491   |
| 0.438         | 2.28  | 1000 | 0.4003          | 0.2914    | 0.4507 | 0.3540 | 0.8705   |
| 0.36          | 3.42  | 1500 | 0.3711          | 0.3166    | 0.5279 | 0.3959 | 0.8757   |
| 0.3033        | 4.56  | 2000 | 0.3286          | 0.3780    | 0.5332 | 0.4423 | 0.8925   |
| 0.2611        | 5.69  | 2500 | 0.3228          | 0.4091    | 0.5905 | 0.4833 | 0.8962   |
| 0.2225        | 6.83  | 3000 | 0.3063          | 0.4403    | 0.6232 | 0.5160 | 0.9032   |
| 0.1883        | 7.97  | 3500 | 0.2909          | 0.4681    | 0.6255 | 0.5355 | 0.9081   |
| 0.156         | 9.11  | 4000 | 0.2942          | 0.4990    | 0.6425 | 0.5617 | 0.9117   |
| 0.1314        | 10.25 | 4500 | 0.2981          | 0.5124    | 0.6669 | 0.5796 | 0.9143   |
| 0.1122        | 11.39 | 5000 | 0.3065          | 0.5377    | 0.6510 | 0.5890 | 0.9171   |


### 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-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 

small-mlm-rotten\_tomatoes-from-scratch-custom-tokenizer-target-conll2003
=========================================================================


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


* Loss: 0.3065
* Precision: 0.5377
* Recall: 0.6510
* F1: 0.5890
* Accuracy: 0.9171


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