mpnet_finetuned
This model is a fine-tuned version of sentence-transformers/paraphrase-mpnet-base-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2926
- Accuracy: 0.9367
- F1: 0.9367
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: 0.00011913346592409408
- train_batch_size: 32
- eval_batch_size: 16
- seed: 22
- 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 | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 313 | 1.1492 | 0.8442 | 0.8442 |
| 1.8684 | 2.0 | 626 | 0.4775 | 0.9049 | 0.9049 |
| 1.8684 | 3.0 | 939 | 0.3382 | 0.9302 | 0.9302 |
| 0.336 | 4.0 | 1252 | 0.2926 | 0.9367 | 0.9367 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.15.2
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