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/CRAB_COPA_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_CRAB_COPA_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_CRAB_COPA_KUCI_albert_base_finetuned
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This model is a fine-tuned version of [Ariffiq99/CRAB_COPA_KUCI_Albert_Base_finetuned](https://huggingface.co/Ariffiq99/CRAB_COPA_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: 1.6372
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- F1: 0.7130
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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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| 0.5799 | 1.0 | 933 | 0.5315 | 0.7196 |
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| 0.417 | 2.0 | 1866 | 0.5577 | 0.7205 |
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| 0.2391 | 3.0 | 2799 | 0.8563 | 0.7069 |
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| 0.083 | 4.0 | 3732 | 1.1708 | 0.7139 |
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| 0.0219 | 5.0 | 4665 | 1.4588 | 0.7158 |
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| 0.0044 | 6.0 | 5598 | 1.5879 | 0.7191 |
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| 0.0011 | 7.0 | 6531 | 1.6372 | 0.7130 |
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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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