metadata
library_name: transformers
license: apache-2.0
base_model: sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: out
results: []
out
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: 0.2579
- Accuracy: 0.9245
- F1: 0.9246
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: 3e-05
- train_batch_size: 256
- eval_batch_size: 512
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.3451 | 0.4484 | 100 | 0.8348 | 0.7538 | 0.7486 |
| 0.6432 | 0.8969 | 200 | 0.4679 | 0.8786 | 0.8786 |
| 0.4023 | 1.3453 | 300 | 0.3492 | 0.9044 | 0.9042 |
| 0.315 | 1.7937 | 400 | 0.2925 | 0.9141 | 0.9141 |
| 0.2705 | 2.2422 | 500 | 0.2723 | 0.9171 | 0.9173 |
| 0.2378 | 2.6906 | 600 | 0.2579 | 0.9245 | 0.9246 |
Framework versions
- Transformers 4.57.6
- Pytorch 2.9.0+cu126
- Datasets 4.5.0
- Tokenizers 0.22.2