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# my-awesome-wnut-model

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the wnut_17 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2645
- Precision: 0.5836
- Recall: 0.3170
- F1: 0.4108
- Accuracy: 0.9422

## 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 213  | 0.2790          | 0.6027    | 0.2502 | 0.3536 | 0.9389   |
| No log        | 2.0   | 426  | 0.2645          | 0.5836    | 0.3170 | 0.4108 | 0.9422   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["wnut_17"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "my-awesome-wnut-model", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "dataset": {"name": "wnut_17", "type": "wnut_17", "config": "wnut_17", "split": "test", "args": "wnut_17"}, "metrics": [{"type": "precision", "value": 0.5836177474402731, "name": "Precision"}, {"type": "recall", "value": 0.3169601482854495, "name": "Recall"}, {"type": "f1", "value": 0.41081081081081083, "name": "F1"}, {"type": "accuracy", "value": 0.942242742935317, "name": "Accuracy"}]}]}]}
transformers tensorboard safetensors distilbert token-classification generated_from_trainer dataset:wnut_17 base_model:distilbert-base-uncased license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us