bert-multilingual-sdg-classification
This model is a fine-tuned version of google-bert/bert-base-multilingual-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7049
- F1: 0.8082
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 |
|---|---|---|---|---|
| 1.4134 | 1.0 | 1076 | 0.8534 | 0.7559 |
| 0.7309 | 2.0 | 2152 | 0.7049 | 0.7934 |
| 0.5277 | 3.0 | 3228 | 0.6788 | 0.8081 |
| 0.3819 | 4.0 | 4304 | 0.6843 | 0.8078 |
| 0.2865 | 5.0 | 5380 | 0.7049 | 0.8082 |
Framework versions
- Transformers 4.43.0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for albertmartinez/bert-multilingual-sdg-classification
Base model
google-bert/bert-base-multilingual-uncased