| | --- |
| | license: apache-2.0 |
| | base_model: distilbert-base-uncased |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: prova2 |
| | 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. --> |
| |
|
| | # prova2 |
| |
|
| | 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: 2.2220 |
| | - Accuracy: 0.4833 |
| |
|
| | ## 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: 1 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | No log | 1.0 | 139 | 1.6285 | 0.3667 | |
| | | No log | 2.0 | 278 | 1.7874 | 0.3167 | |
| | | No log | 3.0 | 417 | 1.6707 | 0.45 | |
| | | 1.2047 | 4.0 | 556 | 1.6612 | 0.4 | |
| | | 1.2047 | 5.0 | 695 | 1.8812 | 0.45 | |
| | | 1.2047 | 6.0 | 834 | 2.2119 | 0.4833 | |
| | | 1.2047 | 7.0 | 973 | 2.0258 | 0.4833 | |
| | | 0.4952 | 8.0 | 1112 | 2.2140 | 0.45 | |
| | | 0.4952 | 9.0 | 1251 | 2.2031 | 0.45 | |
| | | 0.4952 | 10.0 | 1390 | 2.2220 | 0.4833 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.34.1 |
| | - Pytorch 2.1.0+cpu |
| | - Datasets 2.14.6 |
| | - Tokenizers 0.14.1 |
| |
|
