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# damage_trigger_effect_2023-12-19_14_11

This model is a fine-tuned version of [Babelscape/wikineural-multilingual-ner](https://huggingface.co/Babelscape/wikineural-multilingual-ner) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6940
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.8550

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
| No log        | 1.0   | 34   | 0.6583          | 0.0       | 0.0    | 0.0 | 0.8158   |
| No log        | 2.0   | 68   | 0.5418          | 0.0       | 0.0    | 0.0 | 0.8094   |
| No log        | 3.0   | 102  | 0.4800          | 0.0       | 0.0    | 0.0 | 0.8418   |
| No log        | 4.0   | 136  | 0.4383          | 0.0       | 0.0    | 0.0 | 0.8579   |
| No log        | 5.0   | 170  | 0.4956          | 0.0       | 0.0    | 0.0 | 0.8449   |
| No log        | 6.0   | 204  | 0.5156          | 0.0       | 0.0    | 0.0 | 0.8591   |
| No log        | 7.0   | 238  | 0.5127          | 0.0       | 0.0    | 0.0 | 0.8591   |
| No log        | 8.0   | 272  | 0.5488          | 0.0       | 0.0    | 0.0 | 0.8529   |
| No log        | 9.0   | 306  | 0.6051          | 0.0       | 0.0    | 0.0 | 0.8529   |
| No log        | 10.0  | 340  | 0.6026          | 0.0       | 0.0    | 0.0 | 0.8605   |
| No log        | 11.0  | 374  | 0.6523          | 0.0       | 0.0    | 0.0 | 0.8506   |
| No log        | 12.0  | 408  | 0.6824          | 0.0       | 0.0    | 0.0 | 0.8520   |
| No log        | 13.0  | 442  | 0.6777          | 0.0       | 0.0    | 0.0 | 0.8550   |
| No log        | 14.0  | 476  | 0.7056          | 0.0       | 0.0    | 0.0 | 0.8508   |
| 0.2478        | 15.0  | 510  | 0.6940          | 0.0       | 0.0    | 0.0 | 0.8550   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "Babelscape/wikineural-multilingual-ner", "model-index": [{"name": "damage_trigger_effect_2023-12-19_14_11", "results": []}]}
transformers tensorboard safetensors bert token-classification generated_from_trainer base_model:Babelscape/wikineural-multilingual-ner license:cc-by-nc-sa-4.0 autotrain_compatible endpoints_compatible region:us