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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert-incl |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# bert-incl |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0004 |
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- Acc: 1.0 |
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- F1 Macro: 1.0 |
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- F1 Weight: 1.0 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 20 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Acc | F1 Macro | F1 Weight | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:---------:| |
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| 0.684 | 0.67 | 20 | 0.6378 | 0.5588 | 0.3585 | 0.4007 | |
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| 0.4681 | 1.33 | 40 | 0.1762 | 0.9559 | 0.9547 | 0.9556 | |
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| 0.0989 | 2.0 | 60 | 0.0058 | 1.0 | 1.0 | 1.0 | |
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| 0.0032 | 2.67 | 80 | 0.0009 | 1.0 | 1.0 | 1.0 | |
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| 0.0011 | 3.33 | 100 | 0.0005 | 1.0 | 1.0 | 1.0 | |
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| 0.0007 | 4.0 | 120 | 0.0004 | 1.0 | 1.0 | 1.0 | |
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| 0.0007 | 4.67 | 140 | 0.0004 | 1.0 | 1.0 | 1.0 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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