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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: out |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# out |
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This model is a fine-tuned version of [sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2579 |
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- Accuracy: 0.9245 |
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- F1: 0.9246 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 256 |
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- eval_batch_size: 512 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:------:| |
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| 1.3451 | 0.4484 | 100 | 0.8348 | 0.7538 | 0.7486 | |
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| 0.6432 | 0.8969 | 200 | 0.4679 | 0.8786 | 0.8786 | |
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| 0.4023 | 1.3453 | 300 | 0.3492 | 0.9044 | 0.9042 | |
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| 0.315 | 1.7937 | 400 | 0.2925 | 0.9141 | 0.9141 | |
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| 0.2705 | 2.2422 | 500 | 0.2723 | 0.9171 | 0.9173 | |
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| 0.2378 | 2.6906 | 600 | 0.2579 | 0.9245 | 0.9246 | |
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### Framework versions |
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- Transformers 4.57.6 |
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- Pytorch 2.9.0+cu126 |
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- Datasets 4.5.0 |
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- Tokenizers 0.22.2 |
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