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# finetune_ner

This model is a fine-tuned version of [deprem-ml/deprem-ner](https://huggingface.co/deprem-ml/deprem-ner) on a custom private dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2600
- Precision: 0.6071
- Recall: 0.68
- F1: 0.6415
- Accuracy: 0.9055


## Training procedure


### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 2    | 0.3447          | 0.4828    | 0.56   | 0.5185 | 0.8740   |
| No log        | 2.0   | 4    | 0.3079          | 0.4688    | 0.6    | 0.5263 | 0.9055   |
| No log        | 3.0   | 6    | 0.2849          | 0.5312    | 0.68   | 0.5965 | 0.9055   |
| No log        | 4.0   | 8    | 0.2796          | 0.5484    | 0.68   | 0.6071 | 0.8976   |
| No log        | 5.0   | 10   | 0.2741          | 0.6071    | 0.68   | 0.6415 | 0.9055   |
| No log        | 6.0   | 12   | 0.2705          | 0.6071    | 0.68   | 0.6415 | 0.9055   |
| No log        | 7.0   | 14   | 0.2685          | 0.5862    | 0.68   | 0.6296 | 0.9055   |
| No log        | 8.0   | 16   | 0.2636          | 0.6071    | 0.68   | 0.6415 | 0.9055   |
| No log        | 9.0   | 18   | 0.2611          | 0.6071    | 0.68   | 0.6415 | 0.9055   |
| No log        | 10.0  | 20   | 0.2600          | 0.6071    | 0.68   | 0.6415 | 0.9055   |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

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

finetune\_ner
=============


This model is a fine-tuned version of deprem-ml/deprem-ner on a custom private dataset.
It achieves the following results on the evaluation set:


* Loss: 0.2600
* Precision: 0.6071
* Recall: 0.68
* F1: 0.6415
* Accuracy: 0.9055


Training procedure
------------------


### Training results



### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3



### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #bert #token-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3