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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: 0.3526
- Precision: 0.5721
- Recall: 0.3420
- F1: 0.4281
- Accuracy: 0.9454

## 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: 0.0002
- 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: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 107  | 0.2863          | 0.3981    | 0.3494 | 0.3722 | 0.9328   |
| No log        | 2.0   | 214  | 0.3438          | 0.5734    | 0.3151 | 0.4067 | 0.9443   |
| No log        | 3.0   | 321  | 0.3482          | 0.5922    | 0.3216 | 0.4168 | 0.9445   |
| No log        | 4.0   | 428  | 0.3526          | 0.5721    | 0.3420 | 0.4281 | 0.9454   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1

{"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": 0.5720930232558139, "name": "Precision"}, {"type": "recall", "value": 0.34198331788693237, "name": "Recall"}, {"type": "f1", "value": 0.4280742459396752, "name": "F1"}, {"type": "accuracy", "value": 0.9453636013851482, "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