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

This model is a fine-tuned version of [muhtasham/small-mlm-imdb-from-scratch](https://huggingface.co/muhtasham/small-mlm-imdb-from-scratch) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3139
- Precision: 0.5483
- Recall: 0.7058
- F1: 0.6172
- Accuracy: 0.9221

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.5923        | 1.14  | 500  | 0.4204          | 0.3729    | 0.4786 | 0.4192 | 0.8745   |
| 0.3516        | 2.28  | 1000 | 0.3429          | 0.4295    | 0.5677 | 0.4890 | 0.8961   |
| 0.2674        | 3.42  | 1500 | 0.3151          | 0.4455    | 0.6234 | 0.5196 | 0.9042   |
| 0.2144        | 4.56  | 2000 | 0.3141          | 0.4764    | 0.6176 | 0.5379 | 0.9088   |
| 0.1759        | 5.69  | 2500 | 0.3065          | 0.5075    | 0.6503 | 0.5701 | 0.9134   |
| 0.1493        | 6.83  | 3000 | 0.2908          | 0.5103    | 0.6737 | 0.5807 | 0.9160   |
| 0.1234        | 7.97  | 3500 | 0.2949          | 0.5192    | 0.6770 | 0.5877 | 0.9189   |
| 0.1022        | 9.11  | 4000 | 0.3015          | 0.5398    | 0.6865 | 0.6044 | 0.9207   |
| 0.0859        | 10.25 | 4500 | 0.3145          | 0.5227    | 0.7025 | 0.5994 | 0.9195   |
| 0.0735        | 11.39 | 5000 | 0.3139          | 0.5483    | 0.7058 | 0.6172 | 0.9221   |


### 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-imdb-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-imdb-from-scratch-target-conll2003
============================================


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


* Loss: 0.3139
* Precision: 0.5483
* Recall: 0.7058
* F1: 0.6172
* Accuracy: 0.9221


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