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End of training

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  2. model.safetensors +1 -1
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: KUCI_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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+ # KUCI_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: 1.1247
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+ - F1: 0.5208
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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: 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 | F1 |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------:|
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+ | 1.2021 | 1.0 | 5196 | 1.1920 | 0.4673 |
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+ | 1.1512 | 2.0 | 10392 | 1.1492 | 0.4987 |
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+ | 1.1004 | 3.0 | 15588 | 1.1244 | 0.5088 |
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+ | 1.0617 | 4.0 | 20784 | 1.1205 | 0.5191 |
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+ | 1.025 | 5.0 | 25980 | 1.1247 | 0.5208 |
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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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