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roberta-base-bne-finetuned-TripAdvisorDomainAdaptation-finetuned-e2-RestMex2023-polaridadDA-V1
This model is a fine-tuned version of vg055/roberta-base-bne-finetuned-TripAdvisorDomainAdaptation on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6264
- F1: 0.7402
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
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.5999 | 1.0 | 15245 | 0.5769 | 0.7385 |
| 0.4425 | 2.0 | 30490 | 0.6264 | 0.7402 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
