trainRanker_ar_vi_non_top_test
This model is a fine-tuned version of microsoft/Multilingual-MiniLM-L12-H384 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6018
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.6928 | 0.32 | 200 | 0.6899 |
0.6879 | 0.64 | 400 | 0.6404 |
0.6259 | 0.96 | 600 | 0.6025 |
0.606 | 1.28 | 800 | 0.6018 |
0.6128 | 1.6 | 1000 | 0.6018 |
0.6145 | 1.92 | 1200 | 0.6018 |
0.61 | 2.24 | 1400 | 0.6018 |
0.616 | 2.56 | 1600 | 0.6018 |
0.6033 | 2.88 | 1800 | 0.6018 |
0.6097 | 3.2 | 2000 | 0.6018 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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