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--- |
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license: gpl-3.0 |
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base_model: MilaNLProc/hate-ita-xlm-r-large |
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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 [MilaNLProc/hate-ita-xlm-r-large](https://huggingface.co/MilaNLProc/hate-ita-xlm-r-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0250 |
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- F1 Macro: 0.9966 |
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- Accuracy: 0.9973 |
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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: 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: 500 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 Macro | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| |
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| 0.4001 | 0.48 | 100 | 0.1722 | 0.9198 | 0.9377 | |
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| 0.1669 | 0.96 | 200 | 0.0355 | 0.9865 | 0.9892 | |
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| 0.0824 | 1.44 | 300 | 0.0839 | 0.9864 | 0.9892 | |
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| 0.0672 | 1.92 | 400 | 0.0277 | 0.9933 | 0.9946 | |
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| 0.0761 | 2.4 | 500 | 0.0483 | 0.9933 | 0.9946 | |
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| 0.0413 | 2.88 | 600 | 0.0250 | 0.9966 | 0.9973 | |
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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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