m-minilm-l12-h384-booster-finetune
This model is a fine-tuned version of microsoft/Multilingual-MiniLM-L12-H384 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6761
- Accuracy: 0.5638
- F1: 0.59
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: 0.0001
- train_batch_size: 128
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
0.6924 | 2.0 | 10 | 0.6725 | 0.6152 | 0.0091 |
0.6671 | 4.0 | 20 | 0.6761 | 0.5638 | 0.59 |
0.5174 | 6.0 | 30 | 0.6368 | 0.6543 | 0.5558 |
0.2944 | 8.0 | 40 | 0.7570 | 0.6117 | 0.5748 |
0.2225 | 10.0 | 50 | 0.7600 | 0.6507 | 0.5800 |
0.2012 | 12.0 | 60 | 0.8511 | 0.6028 | 0.5805 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1
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Base model
microsoft/Multilingual-MiniLM-L12-H384