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_xlm_roberta_large_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: CRAB_KUCI_xlm_roberta_large_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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# CRAB_KUCI_xlm_roberta_large_finetuned
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This model is a fine-tuned version of [Ariffiq99/KUCI_xlm_roberta_large_finetuned](https://huggingface.co/Ariffiq99/KUCI_xlm_roberta_large_finetuned) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2012
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- F1: 0.7264
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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: 1
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- eval_batch_size: 1
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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: 8
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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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| 1.267 | 1.0 | 2880 | 1.1231 | 0.675 |
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| 1.0973 | 2.0 | 5760 | 1.6963 | 0.6972 |
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| 1.0078 | 3.0 | 8640 | 1.4862 | 0.7028 |
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| 0.8358 | 4.0 | 11520 | 1.2276 | 0.7222 |
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| 0.8555 | 5.0 | 14400 | 1.1913 | 0.7181 |
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| 0.8391 | 6.0 | 17280 | 1.2156 | 0.7181 |
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| 0.6803 | 7.0 | 20160 | 1.1517 | 0.7292 |
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| 0.6723 | 8.0 | 23040 | 1.2012 | 0.7264 |
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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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