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--- |
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license: apache-2.0 |
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base_model: Ariffiq99/e_care_bert_base_uncased_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_Bert_Based_Uncased_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_Bert_Based_Uncased_Finetuned |
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This model is a fine-tuned version of [Ariffiq99/e_care_bert_base_uncased_finetuned](https://huggingface.co/Ariffiq99/e_care_bert_base_uncased_finetuned) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1213 |
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- F1: 0.5413 |
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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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| 1.1918 | 1.0 | 5196 | 1.1805 | 0.4805 | |
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| 1.123 | 2.0 | 10392 | 1.1198 | 0.5135 | |
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| 1.0667 | 3.0 | 15588 | 1.1035 | 0.5263 | |
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| 1.0186 | 4.0 | 20784 | 1.0820 | 0.5328 | |
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| 0.9704 | 5.0 | 25980 | 1.1082 | 0.5380 | |
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| 0.9257 | 6.0 | 31176 | 1.1212 | 0.5447 | |
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| 0.9098 | 7.0 | 36372 | 1.1213 | 0.5413 | |
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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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