bert-base-multilingual-cased-finetuned-sa5-model_output
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8825
- F1: 0.6833
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: 4.47e-05
- train_batch_size: 16
- eval_batch_size: 32
- 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 |
---|---|---|---|---|
0.6147 | 1.0 | 537 | 0.5561 | 0.4824 |
0.474 | 2.0 | 1074 | 0.4782 | 0.6215 |
0.2782 | 3.0 | 1611 | 0.5438 | 0.6812 |
0.1312 | 4.0 | 2148 | 0.6770 | 0.6783 |
0.0942 | 5.0 | 2685 | 0.8825 | 0.6833 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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