paraphrase-multilingual-mpnet-base-v2-tuned-smartcat
This model is a fine-tuned version of sentence-transformers/paraphrase-multilingual-mpnet-base-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
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: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0072 | 0.16 | 10000 | 0.0025 |
| 0.0014 | 0.32 | 20000 | 0.0005 |
| 0.0004 | 0.48 | 30000 | 0.0002 |
| 0.0002 | 0.64 | 40000 | 0.0001 |
| 0.0003 | 0.81 | 50000 | 0.0001 |
| 0.0002 | 0.97 | 60000 | 0.0000 |
| 0.0001 | 1.13 | 70000 | 0.0000 |
| 0.0001 | 1.29 | 80000 | 0.0000 |
| 0.0001 | 1.45 | 90000 | 0.0000 |
| 0.0001 | 1.61 | 100000 | 0.0000 |
| 0.0 | 1.77 | 110000 | 0.0000 |
| 0.0 | 1.93 | 120000 | 0.0000 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu102
- Datasets 2.2.1
- Tokenizers 0.12.1