irony_sarcasm_ita
This model is a fine-tuned version of Musixmatch/umberto-commoncrawl-cased-v1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3359
- Accuracy: 0.8282
- F1: 0.4474
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.5985 | 1.0 | 715 | 0.6131 | 0.7955 | 0.4459 |
| 0.2312 | 2.0 | 1430 | 0.8496 | 0.8196 | 0.4403 |
| 0.0632 | 3.0 | 2145 | 0.8931 | 0.8402 | 0.3988 |
| 0.0464 | 4.0 | 2860 | 1.0947 | 0.8402 | 0.4332 |
| 0.015 | 5.0 | 3575 | 1.3966 | 0.8041 | 0.4004 |
| 0.0174 | 6.0 | 4290 | 1.3359 | 0.8282 | 0.4474 |
| 0.0102 | 7.0 | 5005 | 1.3382 | 0.8299 | 0.3857 |
| 0.0011 | 8.0 | 5720 | 1.4105 | 0.8213 | 0.4196 |
| 0.0098 | 9.0 | 6435 | 1.4673 | 0.8213 | 0.4253 |
| 0.0057 | 10.0 | 7150 | 1.4211 | 0.8333 | 0.4226 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1
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