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--- |
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license: mit |
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base_model: neuraly/bert-base-italian-cased-sentiment |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: sentiment_ita |
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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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# sentiment_ita |
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This model is a fine-tuned version of [neuraly/bert-base-italian-cased-sentiment](https://huggingface.co/neuraly/bert-base-italian-cased-sentiment) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6301 |
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- Accuracy: 0.6903 |
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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: 2e-05 |
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- train_batch_size: 48 |
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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: 600 |
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- num_epochs: 14 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 1.5002 | 1.67 | 100 | 0.9894 | 0.6460 | |
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| 0.6959 | 3.33 | 200 | 0.7681 | 0.6726 | |
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| 0.5325 | 5.0 | 300 | 0.7615 | 0.6962 | |
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| 0.349 | 6.67 | 400 | 0.8867 | 0.6932 | |
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| 0.1798 | 8.33 | 500 | 1.1361 | 0.6873 | |
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| 0.0983 | 10.0 | 600 | 1.3994 | 0.6962 | |
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| 0.0412 | 11.67 | 700 | 1.5411 | 0.7109 | |
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| 0.0293 | 13.33 | 800 | 1.6301 | 0.6903 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.0.1 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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