End of training
Browse files- README.md +66 -0
- model.safetensors +1 -1
README.md
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---
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license: mit
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base_model: Ariffiq99/e_care_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: KUCI_e_care_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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# KUCI_e_care_xlm_roberta_base_Finetuned
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This model is a fine-tuned version of [Ariffiq99/e_care_xlm_roberta_base_finetuned](https://huggingface.co/Ariffiq99/e_care_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: 1.0348
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- F1: 0.7682
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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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| 0.6965 | 1.0 | 5196 | 0.6542 | 0.7443 |
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| 0.5632 | 2.0 | 10392 | 0.6754 | 0.7591 |
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| 0.4634 | 3.0 | 15588 | 0.6456 | 0.7680 |
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| 0.3661 | 4.0 | 20784 | 0.7082 | 0.7657 |
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| 0.2783 | 5.0 | 25980 | 0.7899 | 0.7678 |
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| 0.2305 | 6.0 | 31176 | 0.9280 | 0.7655 |
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| 0.2057 | 7.0 | 36372 | 1.0348 | 0.7682 |
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### Framework versions
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- Transformers 4.41.1
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.2
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- Tokenizers 0.19.1
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model.safetensors
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size 1112201908
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version https://git-lfs.github.com/spec/v1
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size 1112201908
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