| --- |
| 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 | |
|
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|
| ### Framework versions |
|
|
| - Transformers 4.32.0 |
| - Pytorch 2.0.1+cu117 |
| - Datasets 2.14.4 |
| - Tokenizers 0.13.3 |
|
|
