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--- |
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license: apache-2.0 |
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base_model: shibing624/text2vec-base-multilingual |
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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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model-index: |
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- name: w2v128b128l |
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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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# w2v128b128l |
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This model is a fine-tuned version of [shibing624/text2vec-base-multilingual](https://huggingface.co/shibing624/text2vec-base-multilingual) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8963 |
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- Accuracy: 0.6528 |
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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: 128 |
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- eval_batch_size: 128 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 1.1613 | 1.0 | 1407 | 1.0185 | 0.6048 | |
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| 0.9495 | 2.0 | 2814 | 0.9233 | 0.6422 | |
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| 0.8848 | 3.0 | 4221 | 0.8963 | 0.6528 | |
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### Framework versions |
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- Transformers 4.41.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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