license: mit | |
tags: | |
- generated_from_trainer | |
base_model: dbmdz/bert-base-italian-uncased | |
model-index: | |
- name: bert-base-italian-uncased-finetuned-ComunaliRoma | |
results: [] | |
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should probably proofread and complete it, then remove this comment. --> | |
# bert-base-italian-uncased-finetuned-ComunaliRoma | |
This model is a fine-tuned version of [dbmdz/bert-base-italian-uncased](https://huggingface.co/dbmdz/bert-base-italian-uncased) on the None dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 3.0398 | |
## 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: 8 | |
- eval_batch_size: 8 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 3.0 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | | |
|:-------------:|:-----:|:----:|:---------------:| | |
| No log | 1.0 | 156 | 3.1907 | | |
| No log | 2.0 | 312 | 3.0522 | | |
| No log | 3.0 | 468 | 3.0203 | | |
### Framework versions | |
- Transformers 4.11.3 | |
- Pytorch 1.9.0+cu111 | |
- Datasets 1.13.3 | |
- Tokenizers 0.10.3 | |