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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: distilroberta-base
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: distilroberta-topic-classification_4
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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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+ # distilroberta-topic-classification_4
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+
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+ This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.5428
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+ - Acc: 0.7557
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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: 5e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 12345
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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: 16
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+ - num_epochs: 20
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+ - mixed_precision_training: Native AMP
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+ - label_smoothing_factor: 0.5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Acc |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 3.6261 | 1.0 | 564 | 3.6045 | 0.6610 |
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+ | 3.5223 | 2.0 | 1128 | 3.5326 | 0.7111 |
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+ | 3.4204 | 3.0 | 1692 | 3.5040 | 0.7322 |
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+ | 3.3446 | 4.0 | 2256 | 3.4980 | 0.7400 |
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+ | 3.2737 | 5.0 | 2820 | 3.4872 | 0.7539 |
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+ | 3.2533 | 6.0 | 3384 | 3.4967 | 0.7555 |
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+ | 3.2059 | 7.0 | 3948 | 3.5038 | 0.7613 |
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+ | 3.1697 | 8.0 | 4512 | 3.5258 | 0.7537 |
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+ | 3.1439 | 9.0 | 5076 | 3.5311 | 0.7573 |
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+ | 3.1426 | 10.0 | 5640 | 3.5334 | 0.7544 |
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+ | 3.1325 | 11.0 | 6204 | 3.5311 | 0.7562 |
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+ | 3.1165 | 12.0 | 6768 | 3.5428 | 0.7557 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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