Training completed!
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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- f1
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model-index:
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- name: PhoBERT-aug_replace_synonym-aug_insert_w2v
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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-aug_replace_synonym-aug_insert_w2v
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This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3269
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- Accuracy: 0.68
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- F1: 0.6858
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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: 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: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.895 | 1.0 | 85 | 0.7598 | 0.65 | 0.5672 |
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| 0.5508 | 2.0 | 170 | 0.7204 | 0.69 | 0.6897 |
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| 0.3688 | 3.0 | 255 | 0.8039 | 0.72 | 0.7133 |
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| 0.2403 | 4.0 | 340 | 0.9418 | 0.66 | 0.6672 |
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| 0.1453 | 5.0 | 425 | 1.1062 | 0.67 | 0.6755 |
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| 0.1089 | 6.0 | 510 | 1.2567 | 0.68 | 0.6834 |
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| 0.0843 | 7.0 | 595 | 1.3071 | 0.67 | 0.6755 |
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| 0.0779 | 8.0 | 680 | 1.3269 | 0.68 | 0.6858 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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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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size 540071281
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