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# dit-tiny_tobacco3482_kd_CEKD_t5.0_a0.5

This model is a fine-tuned version of [microsoft/dit-base](https://huggingface.co/microsoft/dit-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.8497
- Accuracy: 0.18
- Brier Loss: 0.8788
- Nll: 6.0432
- F1 Micro: 0.18
- F1 Macro: 0.0305
- Ece: 0.2578
- Aurc: 0.8511

## 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
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 25

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Brier Loss | Nll     | F1 Micro | F1 Macro | Ece    | Aurc   |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:----------:|:-------:|:--------:|:--------:|:------:|:------:|
| No log        | 0.96  | 3    | 4.0678          | 0.145    | 0.8999     | 10.1608 | 0.145    | 0.0253   | 0.2221 | 0.8466 |
| No log        | 1.96  | 6    | 4.0316          | 0.145    | 0.8948     | 10.5160 | 0.145    | 0.0253   | 0.2239 | 0.8468 |
| No log        | 2.96  | 9    | 3.9774          | 0.16     | 0.8871     | 8.6333  | 0.16     | 0.0524   | 0.2217 | 0.8424 |
| No log        | 3.96  | 12   | 3.9325          | 0.155    | 0.8813     | 6.5340  | 0.155    | 0.0272   | 0.2161 | 0.8837 |
| No log        | 4.96  | 15   | 3.9041          | 0.155    | 0.8787     | 7.1704  | 0.155    | 0.0271   | 0.2296 | 0.8923 |
| No log        | 5.96  | 18   | 3.8876          | 0.155    | 0.8782     | 8.7334  | 0.155    | 0.0277   | 0.2325 | 0.8942 |
| No log        | 6.96  | 21   | 3.8766          | 0.18     | 0.8785     | 8.8120  | 0.18     | 0.0314   | 0.2476 | 0.8555 |
| No log        | 7.96  | 24   | 3.8690          | 0.18     | 0.8791     | 8.8676  | 0.18     | 0.0308   | 0.2643 | 0.8534 |
| No log        | 8.96  | 27   | 3.8633          | 0.18     | 0.8793     | 8.5299  | 0.18     | 0.0306   | 0.2594 | 0.8541 |
| No log        | 9.96  | 30   | 3.8601          | 0.18     | 0.8796     | 7.4142  | 0.18     | 0.0305   | 0.2622 | 0.8548 |
| No log        | 10.96 | 33   | 3.8577          | 0.18     | 0.8797     | 6.6642  | 0.18     | 0.0305   | 0.2720 | 0.8546 |
| No log        | 11.96 | 36   | 3.8560          | 0.18     | 0.8797     | 6.2862  | 0.18     | 0.0305   | 0.2723 | 0.8543 |
| No log        | 12.96 | 39   | 3.8547          | 0.18     | 0.8796     | 6.2084  | 0.18     | 0.0305   | 0.2678 | 0.8541 |
| No log        | 13.96 | 42   | 3.8535          | 0.18     | 0.8794     | 6.1826  | 0.18     | 0.0305   | 0.2631 | 0.8534 |
| No log        | 14.96 | 45   | 3.8525          | 0.18     | 0.8793     | 6.1744  | 0.18     | 0.0305   | 0.2593 | 0.8529 |
| No log        | 15.96 | 48   | 3.8516          | 0.18     | 0.8792     | 6.1606  | 0.18     | 0.0305   | 0.2680 | 0.8527 |
| No log        | 16.96 | 51   | 3.8511          | 0.18     | 0.8791     | 6.1634  | 0.18     | 0.0305   | 0.2724 | 0.8528 |
| No log        | 17.96 | 54   | 3.8510          | 0.18     | 0.8791     | 6.0971  | 0.18     | 0.0305   | 0.2676 | 0.8525 |
| No log        | 18.96 | 57   | 3.8508          | 0.18     | 0.8790     | 6.0686  | 0.18     | 0.0305   | 0.2630 | 0.8522 |
| No log        | 19.96 | 60   | 3.8503          | 0.18     | 0.8789     | 6.0495  | 0.18     | 0.0305   | 0.2581 | 0.8518 |
| No log        | 20.96 | 63   | 3.8501          | 0.18     | 0.8789     | 6.0918  | 0.18     | 0.0305   | 0.2581 | 0.8516 |
| No log        | 21.96 | 66   | 3.8499          | 0.18     | 0.8788     | 6.0464  | 0.18     | 0.0305   | 0.2536 | 0.8516 |
| No log        | 22.96 | 69   | 3.8497          | 0.18     | 0.8788     | 6.0419  | 0.18     | 0.0305   | 0.2535 | 0.8513 |
| No log        | 23.96 | 72   | 3.8497          | 0.18     | 0.8788     | 6.0432  | 0.18     | 0.0305   | 0.2578 | 0.8511 |
| No log        | 24.96 | 75   | 3.8497          | 0.18     | 0.8788     | 6.0432  | 0.18     | 0.0305   | 0.2578 | 0.8511 |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1.post200
- Datasets 2.9.0
- Tokenizers 0.13.2

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