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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/COPA_Bert_Base_Uncased_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: e_care_COPA_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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+ # e_care_COPA_bert_base_uncased_finetuned
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+
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+ This model is a fine-tuned version of [Ariffiq99/COPA_Bert_Base_Uncased_Finetuned](https://huggingface.co/Ariffiq99/COPA_Bert_Base_Uncased_Finetuned) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7722
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+ - F1: 0.7672
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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: 6
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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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+ | 0.5556 | 1.0 | 933 | 0.4844 | 0.7540 |
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+ | 0.3945 | 2.0 | 1866 | 0.5006 | 0.7611 |
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+ | 0.2765 | 3.0 | 2799 | 0.5936 | 0.7705 |
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+ | 0.1941 | 4.0 | 3732 | 0.6735 | 0.7667 |
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+ | 0.1364 | 5.0 | 4665 | 0.7479 | 0.7663 |
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+ | 0.1196 | 6.0 | 5598 | 0.7722 | 0.7672 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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