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# electra-base-discriminator-finetuned-ner-cadec

This model is a fine-tuned version of [csNoHug/electra-base-discriminator-finetuned-ner-cadec](https://huggingface.co/csNoHug/electra-base-discriminator-finetuned-ner-cadec) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9817
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.7253

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
| No log        | 1.0   | 118  | 1.0006          | 0.0       | 0.0    | 0.0 | 0.7248   |
| No log        | 2.0   | 236  | 0.9816          | 0.0       | 0.0    | 0.0 | 0.7248   |
| No log        | 3.0   | 354  | 0.9817          | 0.0       | 0.0    | 0.0 | 0.7253   |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "csNoHug/electra-base-discriminator-finetuned-ner-cadec", "model-index": [{"name": "electra-base-discriminator-finetuned-ner-cadec", "results": []}]}
transformers pytorch electra token-classification generated_from_trainer base_model:csNoHug/electra-base-discriminator-finetuned-ner-cadec license:apache-2.0 autotrain_compatible endpoints_compatible region:us