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# tiny-mlm-imdb-target-conll2003

This model is a fine-tuned version of [muhtasham/small-mlm-wikitext](https://huggingface.co/muhtasham/small-mlm-wikitext) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1138
- Precision: 0.8869
- Recall: 0.9189
- F1: 0.9026
- Accuracy: 0.9777

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.2197        | 1.14  | 500  | 0.0926          | 0.8440    | 0.8756 | 0.8595 | 0.9715   |
| 0.0745        | 2.28  | 1000 | 0.0795          | 0.8817    | 0.8982 | 0.8899 | 0.9766   |
| 0.0425        | 3.42  | 1500 | 0.0829          | 0.8844    | 0.9127 | 0.8983 | 0.9773   |
| 0.0271        | 4.56  | 2000 | 0.0836          | 0.8975    | 0.9148 | 0.9061 | 0.9788   |
| 0.0181        | 5.69  | 2500 | 0.0949          | 0.8922    | 0.9155 | 0.9037 | 0.9782   |
| 0.0129        | 6.83  | 3000 | 0.0922          | 0.8912    | 0.9157 | 0.9033 | 0.9793   |
| 0.0091        | 7.97  | 3500 | 0.0996          | 0.9002    | 0.9169 | 0.9085 | 0.9789   |
| 0.0073        | 9.11  | 4000 | 0.1031          | 0.9035    | 0.9202 | 0.9118 | 0.9800   |
| 0.0057        | 10.25 | 4500 | 0.1152          | 0.9014    | 0.9125 | 0.9069 | 0.9788   |
| 0.005         | 11.39 | 5000 | 0.1138          | 0.8869    | 0.9189 | 0.9026 | 0.9777   |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "tiny-mlm-imdb-target-conll2003", "results": []}]}
transformers pytorch safetensors bert token-classification generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #bert #token-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

tiny-mlm-imdb-target-conll2003
==============================


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


* Loss: 0.1138
* Precision: 0.8869
* Recall: 0.9189
* F1: 0.9026
* Accuracy: 0.9777


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 1.13.0+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 1.13.0+cu116
* Datasets 2.8.1.dev0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #safetensors #bert #token-classification #generated_from_trainer #license-apache-2.0 #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 1.13.0+cu116
* Datasets 2.8.1.dev0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #safetensors #bert #token-classification #generated_from_trainer #license-apache-2.0 #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 1.13.0+cu116
* Datasets 2.8.1.dev0
* Tokenizers 0.13.2