End of training
Browse files- README.md +68 -0
- pytorch_model.bin +1 -1
README.md
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---
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base_model: vinai/phobert-base-v2
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: phobert-v2-finetune-hatespeech-kaggle
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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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# phobert-v2-finetune-hatespeech-kaggle
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This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7815
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- Accuracy: 0.8713
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 0.2035 | 1.0 | 2678 | 0.4716 | 0.8707 |
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| 0.2372 | 2.0 | 5356 | 0.4366 | 0.8744 |
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| 0.1986 | 3.0 | 8034 | 0.4618 | 0.8681 |
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| 0.175 | 4.0 | 10712 | 0.5475 | 0.8749 |
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| 0.1533 | 5.0 | 13390 | 0.6177 | 0.8720 |
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| 0.1213 | 6.0 | 16068 | 0.6154 | 0.8735 |
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| 0.1171 | 7.0 | 18746 | 0.6709 | 0.8739 |
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| 0.096 | 8.0 | 21424 | 0.7336 | 0.8724 |
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| 0.078 | 9.0 | 24102 | 0.7496 | 0.8688 |
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| 0.0832 | 10.0 | 26780 | 0.7815 | 0.8713 |
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### Framework versions
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- Transformers 4.33.0
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.13.3
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 540071281
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version https://git-lfs.github.com/spec/v1
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oid sha256:cd5908e1b5a75add6ea02f3963e469f0bfdaadabc8e774b0a1ef6eefaf59023d
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size 540071281
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