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update model card README.md

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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: results
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+ results: []
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+ ---
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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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+
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+ # results
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+
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3691
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+ - Micro f1: 0.3798
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+ - Macro f1: 0.0172
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 3e-05
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+ - train_batch_size: 512
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Micro f1 | Macro f1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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+ | No log | 1.0 | 4 | 0.6471 | 0.0960 | 0.0322 |
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+ | No log | 2.0 | 8 | 0.5902 | 0.2933 | 0.0364 |
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+ | No log | 3.0 | 12 | 0.5430 | 0.3700 | 0.0345 |
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+ | No log | 4.0 | 16 | 0.5061 | 0.3709 | 0.0307 |
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+ | No log | 5.0 | 20 | 0.4765 | 0.3756 | 0.0216 |
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+ | No log | 6.0 | 24 | 0.4524 | 0.3748 | 0.0179 |
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+ | No log | 7.0 | 28 | 0.4326 | 0.3788 | 0.0173 |
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+ | No log | 8.0 | 32 | 0.4160 | 0.3803 | 0.0173 |
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+ | No log | 9.0 | 36 | 0.4027 | 0.3798 | 0.0172 |
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+ | No log | 10.0 | 40 | 0.3920 | 0.3798 | 0.0172 |
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+ | No log | 11.0 | 44 | 0.3836 | 0.3798 | 0.0172 |
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+ | No log | 12.0 | 48 | 0.3773 | 0.3798 | 0.0172 |
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+ | No log | 13.0 | 52 | 0.3728 | 0.3798 | 0.0172 |
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+ | No log | 14.0 | 56 | 0.3701 | 0.3798 | 0.0172 |
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+ | No log | 15.0 | 60 | 0.3691 | 0.3798 | 0.0172 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.24.0
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+ - Pytorch 1.12.1+cu113
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+ - Datasets 2.7.1
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+ - Tokenizers 0.13.2