| | --- |
| | license: mit |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: bert-incl |
| | 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. --> |
| |
|
| | # bert-incl |
| |
|
| | This model is a fine-tuned version of [dbmdz/bert-base-italian-cased](https://huggingface.co/dbmdz/bert-base-italian-cased) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0004 |
| | - Acc: 1.0 |
| | - F1 Macro: 1.0 |
| | - F1 Weight: 1.0 |
| |
|
| | ## 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: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 20 |
| | - num_epochs: 5 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Acc | F1 Macro | F1 Weight | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:---------:| |
| | | 0.684 | 0.67 | 20 | 0.6378 | 0.5588 | 0.3585 | 0.4007 | |
| | | 0.4681 | 1.33 | 40 | 0.1762 | 0.9559 | 0.9547 | 0.9556 | |
| | | 0.0989 | 2.0 | 60 | 0.0058 | 1.0 | 1.0 | 1.0 | |
| | | 0.0032 | 2.67 | 80 | 0.0009 | 1.0 | 1.0 | 1.0 | |
| | | 0.0011 | 3.33 | 100 | 0.0005 | 1.0 | 1.0 | 1.0 | |
| | | 0.0007 | 4.0 | 120 | 0.0004 | 1.0 | 1.0 | 1.0 | |
| | | 0.0007 | 4.67 | 140 | 0.0004 | 1.0 | 1.0 | 1.0 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.28.1 |
| | - Pytorch 2.0.0+cu118 |
| | - Datasets 2.12.0 |
| | - Tokenizers 0.13.3 |
| | |
