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  1. README.md +4 -38
  2. generation_config.json +5 -3
  3. model.safetensors +1 -1
README.md CHANGED
@@ -1,11 +1,7 @@
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  ---
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- license: mit
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- base_model: VietAI/vit5-base
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  tags:
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  - generated_from_trainer
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- metrics:
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- - f1
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- - accuracy
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  model-index:
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  - name: sentiment_25_12
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  results: []
@@ -16,11 +12,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # sentiment_25_12
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- This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on the None dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.1668
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- - F1: 0.5760
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- - Accuracy: 0.8423
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  ## Model description
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@@ -40,39 +32,13 @@ More information needed
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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: 80
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- - eval_batch_size: 80
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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: 5
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
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- | 2.0596 | 0.24 | 100 | 0.2039 | 0.5316 | 0.8088 |
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- | 0.1995 | 0.48 | 200 | 0.1781 | 0.5587 | 0.8332 |
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- | 0.1887 | 0.72 | 300 | 0.1749 | 0.5600 | 0.8364 |
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- | 0.1849 | 0.95 | 400 | 0.1703 | 0.5615 | 0.8376 |
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- | 0.1791 | 1.19 | 500 | 0.1764 | 0.5615 | 0.8339 |
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- | 0.1775 | 1.43 | 600 | 0.1687 | 0.5682 | 0.8420 |
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- | 0.1794 | 1.67 | 700 | 0.1659 | 0.5665 | 0.8410 |
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- | 0.1688 | 1.91 | 800 | 0.1710 | 0.5663 | 0.8414 |
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- | 0.1766 | 2.15 | 900 | 0.1650 | 0.5665 | 0.8424 |
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- | 0.1662 | 2.39 | 1000 | 0.1696 | 0.5750 | 0.8420 |
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- | 0.1711 | 2.63 | 1100 | 0.1668 | 0.5718 | 0.8439 |
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- | 0.1616 | 2.86 | 1200 | 0.1689 | 0.5680 | 0.8424 |
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- | 0.166 | 3.1 | 1300 | 0.1667 | 0.5720 | 0.8437 |
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- | 0.1634 | 3.34 | 1400 | 0.1654 | 0.5717 | 0.8401 |
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- | 0.158 | 3.58 | 1500 | 0.1692 | 0.5664 | 0.8431 |
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- | 0.1567 | 3.82 | 1600 | 0.1668 | 0.5727 | 0.8445 |
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- | 0.165 | 4.06 | 1700 | 0.1661 | 0.5679 | 0.8439 |
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- | 0.1577 | 4.3 | 1800 | 0.1672 | 0.5696 | 0.8433 |
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- | 0.1563 | 4.53 | 1900 | 0.1666 | 0.5763 | 0.8435 |
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- | 0.1554 | 4.77 | 2000 | 0.1667 | 0.5738 | 0.8424 |
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-
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-
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  ### Framework versions
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  - Transformers 4.36.2
 
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  ---
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+ base_model: vinai/bartpho-syllable
 
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  tags:
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  - generated_from_trainer
 
 
 
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  model-index:
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  - name: sentiment_25_12
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  results: []
 
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  # sentiment_25_12
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+ This model is a fine-tuned version of [vinai/bartpho-syllable](https://huggingface.co/vinai/bartpho-syllable) on an unknown dataset.
 
 
 
 
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  ## Model description
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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: 5
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  ### Framework versions
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  - Transformers 4.36.2
generation_config.json CHANGED
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- "pad_token_id": 0,
 
 
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  "transformers_version": "4.36.2"
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  }
 
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  "transformers_version": "4.36.2"
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  }
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