v_best_model
This model is a fine-tuned version of Supabase/gte-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0734
- Accuracy: 0.9990
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.2837 | 1.0 | 62 | 0.6846 | 0.9231 |
| 0.448 | 2.0 | 124 | 0.2268 | 0.9808 |
| 0.1566 | 3.0 | 186 | 0.1397 | 0.9808 |
| 0.0879 | 4.0 | 248 | 0.1302 | 0.9808 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.0.1+cu117
- Datasets 2.17.1
- Tokenizers 0.15.0
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Base model
Supabase/gte-small