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End of training

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  1. README.md +69 -0
  2. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: Twitter/twhin-bert-base
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - f1
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+ model-index:
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+ - name: twhin-bert-base
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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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+ # twhin-bert-base
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+
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+ This model is a fine-tuned version of [Twitter/twhin-bert-base](https://huggingface.co/Twitter/twhin-bert-base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9505
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+ - F1: 0.4
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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: 2e-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: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.6761 | 1.0 | 189 | 0.6155 | 0.0 |
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+ | 0.6234 | 2.0 | 378 | 0.6077 | 0.1961 |
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+ | 0.612 | 3.0 | 567 | 0.6394 | 0.2333 |
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+ | 0.611 | 4.0 | 756 | 0.6725 | 0.4533 |
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+ | 0.59 | 5.0 | 945 | 0.6929 | 0.4198 |
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+ | 0.5866 | 6.0 | 1134 | 0.9161 | 0.3385 |
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+ | 0.628 | 7.0 | 1323 | 0.8932 | 0.3824 |
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+ | 0.4787 | 8.0 | 1512 | 0.9278 | 0.3824 |
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+ | 0.5853 | 9.0 | 1701 | 0.9531 | 0.3944 |
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+ | 0.5249 | 10.0 | 1890 | 0.9505 | 0.4 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.32.1
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+ - Pytorch 2.1.2
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+ - Datasets 2.12.0
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+ - Tokenizers 0.13.3
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