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

This model is a fine-tuned version of [muhtasham/tiny-mlm-conll2003-from-scratch-custom-tokenizer](https://huggingface.co/muhtasham/tiny-mlm-conll2003-from-scratch-custom-tokenizer) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3519
- Precision: 0.4521
- Recall: 0.5990
- F1: 0.5152
- Accuracy: 0.9001

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.9087        | 1.14  | 500  | 0.6605          | 0.2378    | 0.1520 | 0.1854 | 0.8258   |
| 0.51          | 2.28  | 1000 | 0.5308          | 0.2599    | 0.3129 | 0.2839 | 0.8546   |
| 0.4331        | 3.42  | 1500 | 0.4741          | 0.3499    | 0.4145 | 0.3795 | 0.8727   |
| 0.3751        | 4.56  | 2000 | 0.4309          | 0.3909    | 0.4783 | 0.4302 | 0.8821   |
| 0.3283        | 5.69  | 2500 | 0.4053          | 0.4271    | 0.5278 | 0.4721 | 0.8886   |
| 0.2964        | 6.83  | 3000 | 0.3853          | 0.4342    | 0.5587 | 0.4887 | 0.8925   |
| 0.2691        | 7.97  | 3500 | 0.3727          | 0.4417    | 0.5774 | 0.5005 | 0.8951   |
| 0.2458        | 9.11  | 4000 | 0.3666          | 0.4253    | 0.5848 | 0.4925 | 0.8954   |
| 0.2258        | 10.25 | 4500 | 0.3628          | 0.4514    | 0.5852 | 0.5096 | 0.8982   |
| 0.2143        | 11.39 | 5000 | 0.3519          | 0.4521    | 0.5990 | 0.5152 | 0.9001   |


### 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-conll2003-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-conll2003-from-scratch-custom-tokenizer-target-conll2003
=================================================================


This model is a fine-tuned version of muhtasham/tiny-mlm-conll2003-from-scratch-custom-tokenizer on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.3519
* Precision: 0.4521
* Recall: 0.5990
* F1: 0.5152
* Accuracy: 0.9001


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