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--- |
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license: apache-2.0 |
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base_model: bert-base-cased |
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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: haspeech_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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# haspeech_ita |
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1077 |
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- Accuracy: 0.9837 |
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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: 24 |
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- eval_batch_size: 8 |
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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: 500 |
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- num_epochs: 8 |
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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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| 0.6174 | 0.72 | 100 | 0.5599 | 0.7425 | |
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| 0.5737 | 1.44 | 200 | 0.4727 | 0.7886 | |
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| 0.4188 | 2.16 | 300 | 0.3844 | 0.8482 | |
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| 0.2411 | 2.88 | 400 | 0.1425 | 0.9566 | |
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| 0.1376 | 3.6 | 500 | 0.1483 | 0.9566 | |
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| 0.1045 | 4.32 | 600 | 0.1069 | 0.9783 | |
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| 0.0485 | 5.04 | 700 | 0.1390 | 0.9783 | |
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| 0.0217 | 5.76 | 800 | 0.0962 | 0.9864 | |
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| 0.0137 | 6.47 | 900 | 0.0788 | 0.9892 | |
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| 0.0049 | 7.19 | 1000 | 0.1223 | 0.9810 | |
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| 0.0043 | 7.91 | 1100 | 0.1077 | 0.9837 | |
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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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