
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# tiny-mlm-wikitext-target-conll2003

This model is a fine-tuned version of [muhtasham/tiny-mlm-wikitext](https://huggingface.co/muhtasham/tiny-mlm-wikitext) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1476
- Precision: 0.7356
- Recall: 0.8095
- F1: 0.7708
- Accuracy: 0.9566

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.7563        | 1.14  | 500  | 0.4302          | 0.4626    | 0.5145 | 0.4872 | 0.8907   |
| 0.3735        | 2.28  | 1000 | 0.2915          | 0.5885    | 0.6547 | 0.6198 | 0.9234   |
| 0.2875        | 3.42  | 1500 | 0.2354          | 0.6404    | 0.7070 | 0.6721 | 0.9342   |
| 0.2366        | 4.56  | 2000 | 0.2071          | 0.6771    | 0.7408 | 0.7075 | 0.9411   |
| 0.2038        | 5.69  | 2500 | 0.1847          | 0.6981    | 0.7657 | 0.7303 | 0.9465   |
| 0.18          | 6.83  | 3000 | 0.1711          | 0.7112    | 0.7841 | 0.7459 | 0.9500   |
| 0.159         | 7.97  | 3500 | 0.1626          | 0.7125    | 0.7908 | 0.7496 | 0.9524   |
| 0.1415        | 9.11  | 4000 | 0.1554          | 0.7193    | 0.7933 | 0.7545 | 0.9544   |
| 0.1276        | 10.25 | 4500 | 0.1514          | 0.7366    | 0.8029 | 0.7683 | 0.9558   |
| 0.1184        | 11.39 | 5000 | 0.1476          | 0.7356    | 0.8095 | 0.7708 | 0.9566   |


### 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-wikitext-target-conll2003", "results": []}]}
transformers pytorch bert token-classification generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #token-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

tiny-mlm-wikitext-target-conll2003
==================================


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


* Loss: 0.1476
* Precision: 0.7356
* Recall: 0.8095
* F1: 0.7708
* Accuracy: 0.9566


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 #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 #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