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--- |
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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: bert-small-unidic-bpe2 |
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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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# bert-small-unidic-bpe2 |
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5665 |
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- Accuracy: 0.6690 |
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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: 0.0001 |
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- train_batch_size: 768 |
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- eval_batch_size: 16 |
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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_ratio: 0.01 |
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- num_epochs: 14 |
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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 | Accuracy | |
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|:-------------:|:-----:|:------:|:---------------:|:--------:| |
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| 2.111 | 1.0 | 69473 | 1.9831 | 0.6056 | |
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| 1.9667 | 2.0 | 138946 | 1.8334 | 0.6277 | |
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| 1.8918 | 3.0 | 208419 | 1.7656 | 0.6376 | |
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| 1.8518 | 4.0 | 277892 | 1.7219 | 0.6444 | |
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| 1.8202 | 5.0 | 347365 | 1.6904 | 0.6490 | |
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| 1.7996 | 6.0 | 416838 | 1.6705 | 0.6524 | |
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| 1.7767 | 7.0 | 486311 | 1.6479 | 0.6558 | |
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| 1.7663 | 8.0 | 555784 | 1.6339 | 0.6577 | |
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| 1.7524 | 9.0 | 625257 | 1.6159 | 0.6611 | |
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| 1.7398 | 10.0 | 694730 | 1.6020 | 0.6627 | |
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| 1.7229 | 11.0 | 764203 | 1.5920 | 0.6645 | |
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| 1.7127 | 12.0 | 833676 | 1.5836 | 0.6658 | |
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| 1.7011 | 13.0 | 903149 | 1.5737 | 0.6677 | |
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| 1.7 | 14.0 | 972622 | 1.5665 | 0.6690 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
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