End of training
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README.md
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---
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license: mit
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base_model: Ariffiq99/KUCI_e_care_CRAB_xlm_roberta_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_e_care_CRAB_xlm_roberta_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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# COPA_KUCI_e_care_CRAB_xlm_roberta_base_finetuned
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This model is a fine-tuned version of [Ariffiq99/KUCI_e_care_CRAB_xlm_roberta_Base_Finetuned](https://huggingface.co/Ariffiq99/KUCI_e_care_CRAB_xlm_roberta_Base_Finetuned) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3472
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- F1: 0.646
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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: 4
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- eval_batch_size: 4
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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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| No log | 1.0 | 250 | 0.6419 | 0.614 |
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| 0.6799 | 2.0 | 500 | 0.6238 | 0.654 |
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| 0.6799 | 3.0 | 750 | 0.6344 | 0.646 |
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| 0.5169 | 4.0 | 1000 | 1.0708 | 0.64 |
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| 0.5169 | 5.0 | 1250 | 1.0799 | 0.636 |
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| 0.431 | 6.0 | 1500 | 1.2484 | 0.656 |
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| 0.431 | 7.0 | 1750 | 1.3472 | 0.646 |
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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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model.safetensors
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