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--- |
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license: apache-2.0 |
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tags: |
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- mlm |
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- generated_from_trainer |
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model-index: |
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- name: article2keyword2.1b_paraphrase-multilingual-MiniLM-L12-v2_finetuned_for_mlm |
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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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# article2keyword2.1b_paraphrase-multilingual-MiniLM-L12-v2_finetuned_for_mlm |
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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: 0.0673 |
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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: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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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- num_epochs: 16 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 2.3777 | 1.0 | 1353 | 0.3168 | |
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| 0.2358 | 2.0 | 2706 | 0.1564 | |
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| 0.1372 | 3.0 | 4059 | 0.1149 | |
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| 0.1046 | 4.0 | 5412 | 0.0956 | |
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| 0.086 | 5.0 | 6765 | 0.0853 | |
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| 0.0741 | 6.0 | 8118 | 0.0786 | |
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| 0.0653 | 7.0 | 9471 | 0.0750 | |
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| 0.0594 | 8.0 | 10824 | 0.0726 | |
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| 0.0542 | 9.0 | 12177 | 0.0699 | |
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| 0.0504 | 10.0 | 13530 | 0.0692 | |
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| 0.047 | 11.0 | 14883 | 0.0684 | |
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| 0.0444 | 12.0 | 16236 | 0.0675 | |
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| 0.0423 | 13.0 | 17589 | 0.0674 | |
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| 0.0404 | 14.0 | 18942 | 0.0673 | |
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| 0.0392 | 15.0 | 20295 | 0.0672 | |
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| 0.0379 | 16.0 | 21648 | 0.0673 | |
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### Framework versions |
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- Transformers 4.21.1 |
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- Pytorch 1.11.0 |
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- Datasets 2.3.2 |
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- Tokenizers 0.12.1 |
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