hanifnoerr
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Update README.md
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README.md
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- name: F1
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type: f1
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value: 0.9034223843742829
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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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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: 2e-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: 20
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### Training results
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| 0.0033 | 16.0 | 11008 | 0.7442 | 0.9214 | 0.8902 |
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| 0.0 | 17.0 | 11696 | 0.7513 | 0.9254 | 0.8974 |
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| 0.0 | 18.0 | 12384 | 0.7554 | 0.9270 | 0.8999 |
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| 0.0 | 19.0 | 13072 | 0.7618 | 0.9262 | 0.8979 |
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| 0.0011 | 20.0 | 13760 | 0.7549 | 0.9278 | 0.9005 |
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### Framework versions
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- Transformers 4.27.4
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- Pytorch 2.0.0+cu118
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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- name: F1
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type: f1
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value: 0.9034223843742829
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language:
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- id
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pipeline_tag: text-classification
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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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More information needed
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### Training results
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| 0.0033 | 16.0 | 11008 | 0.7442 | 0.9214 | 0.8902 |
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| 0.0 | 17.0 | 11696 | 0.7513 | 0.9254 | 0.8974 |
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| 0.0 | 18.0 | 12384 | 0.7554 | 0.9270 | 0.8999 |
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Although trained with 18 epochs, this model uses the best weight (Epoch 2)
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### Framework versions
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- Transformers 4.27.4
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- Pytorch 2.0.0+cu118
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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