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_replace_tfidf-1
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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_replace_tfidf-1
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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: 0.8919
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- Accuracy: 0.74
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- F1: 0.7436
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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: 41
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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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| 0.9586 | 1.0 | 87 | 0.7412 | 0.65 | 0.6130 |
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| 0.7172 | 2.0 | 174 | 0.6653 | 0.7 | 0.6840 |
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| 0.5667 | 3.0 | 261 | 0.6567 | 0.72 | 0.7191 |
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| 0.4208 | 4.0 | 348 | 0.7138 | 0.77 | 0.7686 |
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| 0.3339 | 5.0 | 435 | 0.6975 | 0.75 | 0.7509 |
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| 0.2589 | 6.0 | 522 | 0.8100 | 0.72 | 0.7307 |
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| 0.1958 | 7.0 | 609 | 0.8663 | 0.76 | 0.7658 |
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| 0.189 | 8.0 | 696 | 0.8919 | 0.74 | 0.7436 |
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### Framework versions
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- Transformers 4.33.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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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:e2bb8cb4bd37be3ed411f4651556fac1708e87ef0783be9716c4fd787ee3cbdb
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size 540071281
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