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# TTC4900Model_clean

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5067
- Accuracy: 0.4816
- F1: 0.4211
- Precision: 0.4438
- Recall: 0.4692

## 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: 5e-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
- lr_scheduler_warmup_steps: 100
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 3.8871        | 5.26  | 500  | 3.2249          | 0.4274   | 0.3644 | 0.3756    | 0.4374 |
| 1.3018        | 10.53 | 1000 | 2.2558          | 0.5277   | 0.4563 | 0.4619    | 0.5307 |
| 0.4265        | 15.79 | 1500 | 2.2038          | 0.5277   | 0.4683 | 0.4797    | 0.5372 |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cpu
- Tokenizers 0.14.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "TTC4900Model_clean", "results": []}]}
transformers safetensors distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us