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--- |
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license: apache-2.0 |
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base_model: facebook/bart-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: MT_Complaint |
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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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# MT_Complaint |
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4773 |
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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-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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_steps: 500 |
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- num_epochs: 50 |
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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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| 0.4907 | 1.0 | 151 | 0.3250 | |
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| 0.2887 | 2.0 | 302 | 0.2513 | |
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| 0.2371 | 3.0 | 453 | 0.2255 | |
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| 0.1945 | 4.0 | 604 | 0.2192 | |
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| 0.1683 | 5.0 | 755 | 0.2119 | |
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| 0.1461 | 6.0 | 906 | 0.2207 | |
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| 0.1143 | 7.0 | 1057 | 0.2182 | |
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| 0.1011 | 8.0 | 1208 | 0.2421 | |
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| 0.0818 | 9.0 | 1359 | 0.2476 | |
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| 0.0799 | 10.0 | 1510 | 0.2660 | |
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| 0.0757 | 11.0 | 1661 | 0.2661 | |
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| 0.0619 | 12.0 | 1812 | 0.2687 | |
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| 0.0517 | 13.0 | 1963 | 0.2939 | |
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| 0.0468 | 14.0 | 2114 | 0.3191 | |
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| 0.0352 | 15.0 | 2265 | 0.3343 | |
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| 0.0382 | 16.0 | 2416 | 0.3369 | |
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| 0.022 | 17.0 | 2567 | 0.3442 | |
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| 0.017 | 18.0 | 2718 | 0.3532 | |
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| 0.0286 | 19.0 | 2869 | 0.3594 | |
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| 0.0178 | 20.0 | 3020 | 0.3793 | |
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| 0.017 | 21.0 | 3171 | 0.3976 | |
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| 0.0127 | 22.0 | 3322 | 0.4029 | |
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| 0.0136 | 23.0 | 3473 | 0.4038 | |
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| 0.0124 | 24.0 | 3624 | 0.4045 | |
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| 0.0089 | 25.0 | 3775 | 0.3999 | |
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| 0.0108 | 26.0 | 3926 | 0.4103 | |
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| 0.0141 | 27.0 | 4077 | 0.4106 | |
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| 0.0126 | 28.0 | 4228 | 0.4197 | |
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| 0.0071 | 29.0 | 4379 | 0.4409 | |
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| 0.0046 | 30.0 | 4530 | 0.4240 | |
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| 0.0075 | 31.0 | 4681 | 0.4384 | |
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| 0.0061 | 32.0 | 4832 | 0.4313 | |
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| 0.0093 | 33.0 | 4983 | 0.4534 | |
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| 0.0066 | 34.0 | 5134 | 0.4499 | |
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| 0.0028 | 35.0 | 5285 | 0.4574 | |
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| 0.0034 | 36.0 | 5436 | 0.4615 | |
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| 0.0031 | 37.0 | 5587 | 0.4636 | |
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| 0.0047 | 38.0 | 5738 | 0.4728 | |
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| 0.0021 | 39.0 | 5889 | 0.4639 | |
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| 0.0027 | 40.0 | 6040 | 0.4658 | |
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| 0.0035 | 41.0 | 6191 | 0.4755 | |
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| 0.0032 | 42.0 | 6342 | 0.4589 | |
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| 0.0027 | 43.0 | 6493 | 0.4628 | |
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| 0.0018 | 44.0 | 6644 | 0.4762 | |
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| 0.0017 | 45.0 | 6795 | 0.4697 | |
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| 0.0012 | 46.0 | 6946 | 0.4762 | |
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| 0.0022 | 47.0 | 7097 | 0.4830 | |
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| 0.0013 | 48.0 | 7248 | 0.4765 | |
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| 0.0013 | 49.0 | 7399 | 0.4759 | |
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| 0.0014 | 50.0 | 7550 | 0.4773 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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