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finetuning-binary-ideology-model
This model is a fine-tuned version of pysentimiento/robertuito-sentiment-analysis on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4435
- Accuracy: 0.7947
- F1: 0.8207
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.6463 | 1.0 | 939 | 0.4767 | 0.7673 | 0.8149 |
| 0.4062 | 2.0 | 1878 | 0.4435 | 0.7947 | 0.8207 |
| 0.2524 | 3.0 | 2817 | 0.4951 | 0.8040 | 0.8302 |
| 0.155 | 4.0 | 3756 | 0.6277 | 0.8059 | 0.8346 |
| 0.0969 | 5.0 | 4695 | 0.7296 | 0.8006 | 0.8264 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
