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

This model is a fine-tuned version of [muhtasham/tiny-mlm-tweet_eval-from-scratch-custom-tokenizer](https://huggingface.co/muhtasham/tiny-mlm-tweet_eval-from-scratch-custom-tokenizer) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4153
- Precision: 0.2618
- Recall: 0.4002
- F1: 0.3166
- Accuracy: 0.8656

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 1.0571        | 1.14  | 500  | 0.7799          | 0.0549    | 0.0559 | 0.0554 | 0.7879   |
| 0.6857        | 2.28  | 1000 | 0.6491          | 0.1028    | 0.1508 | 0.1222 | 0.8120   |
| 0.6016        | 3.42  | 1500 | 0.5834          | 0.1427    | 0.2189 | 0.1728 | 0.8256   |
| 0.5481        | 4.56  | 2000 | 0.5410          | 0.1707    | 0.2654 | 0.2078 | 0.8366   |
| 0.5078        | 5.69  | 2500 | 0.5046          | 0.1888    | 0.3080 | 0.2341 | 0.8467   |
| 0.474         | 6.83  | 3000 | 0.4732          | 0.2181    | 0.3477 | 0.2681 | 0.8552   |
| 0.4435        | 7.97  | 3500 | 0.4505          | 0.2310    | 0.3814 | 0.2877 | 0.8593   |
| 0.4168        | 9.11  | 4000 | 0.4369          | 0.2343    | 0.3851 | 0.2913 | 0.8611   |
| 0.3965        | 10.25 | 4500 | 0.4222          | 0.2431    | 0.4000 | 0.3024 | 0.8636   |
| 0.3829        | 11.39 | 5000 | 0.4153          | 0.2618    | 0.4002 | 0.3166 | 0.8656   |


### 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-tweet_eval-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-tweet\_eval-from-scratch-custom-tokenizer-target-conll2003
===================================================================


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


* Loss: 0.4153
* Precision: 0.2618
* Recall: 0.4002
* F1: 0.3166
* Accuracy: 0.8656


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