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paraphrase-multilingual-MiniLM-L12-v2-finetuned-DIT-10_epochs
This model is a fine-tuned version of sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.6933
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 91 | 9.1280 |
| No log | 2.0 | 182 | 7.7624 |
| No log | 3.0 | 273 | 6.8875 |
| No log | 4.0 | 364 | 6.2064 |
| No log | 5.0 | 455 | 5.6836 |
| 7.584 | 6.0 | 546 | 5.2978 |
| 7.584 | 7.0 | 637 | 5.0191 |
| 7.584 | 8.0 | 728 | 4.8337 |
| 7.584 | 9.0 | 819 | 4.7284 |
| 7.584 | 10.0 | 910 | 4.6933 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.2+cpu
- Datasets 2.0.0
- Tokenizers 0.11.6
