metadata
license: mit
base_model: MilaNLProc/hate-ita-xlm-r-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: haspeech_ita
results: []
language:
- it
datasets:
- Paul/hatecheck-italian
haspeech_ita
This model is a fine-tuned version of MilaNLProc/hate-ita-xlm-r-large on a dataset Paul/hatecheck-italian. It achieves the following results on the evaluation set:
- Loss: 0.0030
- Accuracy: 0.9973
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3538 | 0.48 | 100 | 0.2109 | 0.9241 |
| 0.18 | 0.96 | 200 | 0.1058 | 0.9783 |
| 0.0924 | 1.44 | 300 | 0.0618 | 0.9892 |
| 0.0948 | 1.92 | 400 | 0.0382 | 0.9892 |
| 0.0475 | 2.4 | 500 | 0.0607 | 0.9919 |
| 0.0572 | 2.88 | 600 | 0.0030 | 0.9973 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1
- Datasets 2.15.0
- Tokenizers 0.15.0