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--- |
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license: apache-2.0 |
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base_model: bert-large-cased |
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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-large-cased-massive_intent |
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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-large-cased-massive_intent |
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This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6377 |
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- Accuracy: 0.8942 |
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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-06 |
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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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- num_epochs: 15 |
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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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| 2.6229 | 1.0 | 1440 | 1.1695 | 0.7718 | |
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| 0.9067 | 2.0 | 2880 | 0.6360 | 0.8603 | |
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| 0.4804 | 3.0 | 4320 | 0.5548 | 0.8746 | |
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| 0.3044 | 4.0 | 5760 | 0.5343 | 0.8913 | |
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| 0.2077 | 5.0 | 7200 | 0.6043 | 0.8913 | |
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| 0.1442 | 6.0 | 8640 | 0.6377 | 0.8942 | |
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| 0.1096 | 7.0 | 10080 | 0.6919 | 0.8888 | |
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| 0.0796 | 8.0 | 11520 | 0.7272 | 0.8908 | |
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| 0.0622 | 9.0 | 12960 | 0.7530 | 0.8918 | |
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### Framework versions |
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- Transformers 4.37.1 |
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- Pytorch 2.2.0 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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