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End of training

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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: Ariffiq99/KUCI_Bert_Base_Finetuned
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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: COPA_KUCI_Bert_Base_Uncased_Finetuned
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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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+ # COPA_KUCI_Bert_Base_Uncased_Finetuned
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+
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+ This model is a fine-tuned version of [Ariffiq99/KUCI_Bert_Base_Finetuned](https://huggingface.co/Ariffiq99/KUCI_Bert_Base_Finetuned) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7391
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+ - F1: 0.7291
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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: 1e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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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+ | No log | 1.0 | 63 | 0.6190 | 0.7012 |
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+ | No log | 2.0 | 126 | 0.6331 | 0.7090 |
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+ | No log | 3.0 | 189 | 0.6979 | 0.7280 |
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+ | No log | 4.0 | 252 | 0.6767 | 0.7228 |
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+ | No log | 5.0 | 315 | 0.7029 | 0.7258 |
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+ | No log | 6.0 | 378 | 0.7162 | 0.7288 |
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+ | No log | 7.0 | 441 | 0.7150 | 0.7351 |
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+ | 0.1874 | 8.0 | 504 | 0.7240 | 0.7213 |
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+ | 0.1874 | 9.0 | 567 | 0.7336 | 0.7265 |
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+ | 0.1874 | 10.0 | 630 | 0.7391 | 0.7291 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.1
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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