End of training
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README.md
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---
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license: apache-2.0
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base_model: Ariffiq99/KUCI_albert_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: e_care_KUCI_albert_base_finetuned
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results: []
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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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# e_care_KUCI_albert_base_finetuned
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This model is a fine-tuned version of [Ariffiq99/KUCI_albert_base_Finetuned](https://huggingface.co/Ariffiq99/KUCI_albert_base_Finetuned) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4966
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- F1: 0.7253
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 7
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.5723 | 1.0 | 933 | 0.5206 | 0.7201 |
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| 0.3965 | 2.0 | 1866 | 0.5367 | 0.7422 |
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| 0.218 | 3.0 | 2799 | 0.7913 | 0.7337 |
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| 0.0863 | 4.0 | 3732 | 1.0507 | 0.7366 |
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| 0.0285 | 5.0 | 4665 | 1.3223 | 0.7286 |
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| 0.0082 | 6.0 | 5598 | 1.4432 | 0.7248 |
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| 0.0029 | 7.0 | 6531 | 1.4966 | 0.7253 |
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### Framework versions
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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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