distilbert-multilingual-sdg-classification
This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7341
- F1: 0.7954
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_steps: 600
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.484 | 1.0 | 1076 | 0.8800 | 0.7463 |
| 0.7957 | 2.0 | 2152 | 0.7796 | 0.7735 |
| 0.612 | 3.0 | 3228 | 0.7352 | 0.7904 |
| 0.4784 | 4.0 | 4304 | 0.7243 | 0.7948 |
| 0.3959 | 5.0 | 5380 | 0.7341 | 0.7954 |
Framework versions
- Transformers 4.43.2
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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