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distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos-sobremuestreo
This model is a fine-tuned version of distilbert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0945
- F1: 0.5371
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: 25
- eval_batch_size: 25
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss | F1 |
---|---|---|---|---|
1.0619 | 1.0 | 735 | 1.0749 | 0.5091 |
0.7768 | 2.0 | 1470 | 1.0945 | 0.5371 |
0.6105 | 3.0 | 2205 | 1.2320 | 0.5270 |
0.4603 | 4.0 | 2940 | 1.3570 | 0.5285 |
0.398 | 5.0 | 3675 | 1.4115 | 0.5244 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3