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--- |
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license: apache-2.0 |
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base_model: sentence-transformers/paraphrase-multilingual-mpnet-base-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: para-multi-finetuning |
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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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# para-multi-finetuning |
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This model is a fine-tuned version of [sentence-transformers/paraphrase-multilingual-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7937 |
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- Accuracy: 0.8072 |
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- F1: 0.8054 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 5 |
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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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| 1.0969 | 1.0 | 65741 | 0.9992 | 0.7559 | 0.7478 | |
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| 0.7092 | 2.0 | 131482 | 0.8674 | 0.7820 | 0.7787 | |
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| 0.4966 | 3.0 | 197223 | 0.8120 | 0.7975 | 0.7927 | |
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| 0.739 | 4.0 | 262964 | 0.7937 | 0.8072 | 0.8054 | |
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| 0.4707 | 5.0 | 328705 | 0.8312 | 0.8109 | 0.8089 | |
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### Framework versions |
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- Transformers 4.43.3 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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