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

This model is a fine-tuned version of [muhtasham/tiny-mlm-wikitext-from-scratch-custom-tokenizer](https://huggingface.co/muhtasham/tiny-mlm-wikitext-from-scratch-custom-tokenizer) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3451
- Precision: 0.3914
- Recall: 0.5631
- F1: 0.4618
- Accuracy: 0.8978

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 1.0009        | 1.14  | 500  | 0.6888          | 0.1156    | 0.1160 | 0.1158 | 0.8144   |
| 0.6084        | 2.28  | 1000 | 0.5797          | 0.2110    | 0.2735 | 0.2382 | 0.8417   |
| 0.5231        | 3.42  | 1500 | 0.5113          | 0.2567    | 0.3295 | 0.2886 | 0.8560   |
| 0.4552        | 4.56  | 2000 | 0.4575          | 0.2947    | 0.4061 | 0.3415 | 0.8701   |
| 0.4           | 5.69  | 2500 | 0.4172          | 0.3182    | 0.4615 | 0.3767 | 0.8802   |
| 0.3587        | 6.83  | 3000 | 0.3915          | 0.3378    | 0.4921 | 0.4006 | 0.8871   |
| 0.3263        | 7.97  | 3500 | 0.3719          | 0.3638    | 0.5296 | 0.4313 | 0.8918   |
| 0.2975        | 9.11  | 4000 | 0.3605          | 0.3687    | 0.5411 | 0.4385 | 0.8939   |
| 0.2748        | 10.25 | 4500 | 0.3509          | 0.3868    | 0.5471 | 0.4532 | 0.8969   |
| 0.2602        | 11.39 | 5000 | 0.3451          | 0.3914    | 0.5631 | 0.4618 | 0.8978   |


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


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


* Loss: 0.3451
* Precision: 0.3914
* Recall: 0.5631
* F1: 0.4618
* Accuracy: 0.8978


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