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minilm-l6-h384-uncased-eli5
This model is a fine-tuned version of nreimers/MiniLM-L6-H384-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.5604
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.2614 | 1.0 | 936 | 4.9684 |
| 4.9757 | 2.0 | 1872 | 4.6917 |
| 4.7582 | 3.0 | 2808 | 4.5926 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cpu
- Datasets 2.12.0
- Tokenizers 0.13.3
