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roberta-base-bne-finetuned-detests-02-11-2022
This model is a fine-tuned version of BSC-TeMU/roberta-base-bne on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8124
- F1: 0.6381
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: 64
- eval_batch_size: 64
- 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 | F1 |
|---|---|---|---|---|
| 0.379 | 0.64 | 25 | 0.4136 | 0.0 |
| 0.315 | 1.28 | 50 | 0.3663 | 0.6343 |
| 0.3228 | 1.92 | 75 | 0.3424 | 0.6386 |
| 0.1657 | 2.56 | 100 | 0.5133 | 0.5385 |
| 0.108 | 3.21 | 125 | 0.4766 | 0.6452 |
| 0.0631 | 3.85 | 150 | 0.6063 | 0.6083 |
| 0.0083 | 4.49 | 175 | 0.6200 | 0.6198 |
| 0.0032 | 5.13 | 200 | 0.6508 | 0.6335 |
| 0.0047 | 5.77 | 225 | 0.6877 | 0.6269 |
| 0.0018 | 6.41 | 250 | 0.7745 | 0.6148 |
| 0.0014 | 7.05 | 275 | 0.7741 | 0.6299 |
| 0.001 | 7.69 | 300 | 0.7896 | 0.6381 |
| 0.0011 | 8.33 | 325 | 0.8008 | 0.6381 |
| 0.0008 | 8.97 | 350 | 0.8086 | 0.6381 |
| 0.0009 | 9.62 | 375 | 0.8124 | 0.6381 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
