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-Final_Mixed-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-Final_Mixed-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: 1.1056
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- Accuracy: 0.73
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- F1: 0.7280
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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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| 0.8961 | 1.0 | 86 | 0.7149 | 0.69 | 0.6676 |
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| 0.5695 | 2.0 | 172 | 0.7188 | 0.71 | 0.7029 |
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| 0.3772 | 3.0 | 258 | 0.7802 | 0.71 | 0.7061 |
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| 0.2899 | 4.0 | 344 | 0.7639 | 0.76 | 0.7595 |
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| 0.2145 | 5.0 | 430 | 0.9140 | 0.73 | 0.7286 |
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| 0.1299 | 6.0 | 516 | 1.0655 | 0.72 | 0.7123 |
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| 0.1047 | 7.0 | 602 | 1.0912 | 0.73 | 0.7244 |
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| 0.0864 | 8.0 | 688 | 1.1056 | 0.73 | 0.7280 |
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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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size 540071281
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version https://git-lfs.github.com/spec/v1
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size 540071281
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