---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: DayOne
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# DayOne

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5286
- Accuracy: 0.8686
- F1 Macro: 0.6109
- F1 Class 0: 0.9182
- F1 Class 1: 0.0
- F1 Class 2: 0.8817
- F1 Class 3: 0.9091
- F1 Class 4: 0.7556
- F1 Class 5: 0.6667
- F1 Class 6: 0.6897
- F1 Class 7: 0.9701
- F1 Class 8: 0.8889
- F1 Class 9: 0.7500
- F1 Class 10: 0.8926
- F1 Class 11: 0.0
- F1 Class 12: 0.7888
- F1 Class 13: 0.0
- F1 Class 14: 0.8213
- F1 Class 15: 0.0
- F1 Class 16: 0.0
- F1 Class 17: 0.9772
- F1 Class 18: 0.8381
- F1 Class 19: 0.4706

## 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 | Accuracy | F1 Macro | F1 Class 0 | F1 Class 1 | F1 Class 2 | F1 Class 3 | F1 Class 4 | F1 Class 5 | F1 Class 6 | F1 Class 7 | F1 Class 8 | F1 Class 9 | F1 Class 10 | F1 Class 11 | F1 Class 12 | F1 Class 13 | F1 Class 14 | F1 Class 15 | F1 Class 16 | F1 Class 17 | F1 Class 18 | F1 Class 19 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:----------:|:----------:|:----------:|:----------:|:----------:|:----------:|:----------:|:----------:|:----------:|:----------:|:-----------:|:-----------:|:-----------:|:-----------:|:-----------:|:-----------:|:-----------:|:-----------:|:-----------:|:-----------:|
| 0.9508        | 1.77  | 1000 | 0.5343          | 0.8708   | 0.6138   | 0.9245     | 0.0        | 0.8938     | 0.9091     | 0.7835     | 0.6966     | 0.6947     | 0.9762     | 0.8889     | 0.7723     | 0.8896      | 0.0         | 0.7932      | 0.0         | 0.8194      | 0.0         | 0.0         | 0.9772      | 0.7857      | 0.4706      |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3