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--- |
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license: mit |
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base_model: intfloat/multilingual-e5-small |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: e5_finetuned |
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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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# e5_finetuned |
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This model is a fine-tuned version of [intfloat/multilingual-e5-small](https://huggingface.co/intfloat/multilingual-e5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0611 |
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- Precision: 0.9494 |
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- Recall: 0.8860 |
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- F1: 0.9166 |
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- Accuracy: 0.9799 |
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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: 1e-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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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_ratio: 0.1 |
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- num_epochs: 5.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:------:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| No log | 0.0009 | 2 | 0.7141 | 0.125 | 1.0 | 0.2222 | 0.125 | |
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| 0.1046 | 0.9998 | 2334 | 0.0905 | 0.9564 | 0.8239 | 0.8852 | 0.9733 | |
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| 0.0786 | 2.0 | 4669 | 0.0734 | 0.9550 | 0.8540 | 0.9016 | 0.9767 | |
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| 0.0761 | 2.9998 | 7003 | 0.0690 | 0.9358 | 0.8834 | 0.9088 | 0.9778 | |
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| 0.0673 | 4.0 | 9338 | 0.0621 | 0.9594 | 0.8750 | 0.9152 | 0.9797 | |
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| 0.0709 | 4.9989 | 11670 | 0.0611 | 0.9494 | 0.8860 | 0.9166 | 0.9799 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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