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Training completed!

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README.md ADDED
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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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+ model-index:
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+ - name: CS505-GPT_T3vsLabel2T5_CSI-PhoBERT
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+ results: []
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+ ---
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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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+
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+ # CS505-GPT_T3vsLabel2T5_CSI-PhoBERT
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+
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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: 0.0002
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 8
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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: 15
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 332 | 0.1938 |
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+ | 0.302 | 1.99 | 664 | 0.1052 |
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+ | 0.302 | 2.99 | 996 | 0.0698 |
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+ | 0.158 | 3.99 | 1328 | 0.0487 |
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+ | 0.0811 | 4.98 | 1660 | 0.0182 |
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+ | 0.0811 | 5.98 | 1992 | 0.0239 |
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+ | 0.053 | 6.98 | 2324 | 0.0264 |
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+ | 0.025 | 7.98 | 2656 | 0.0086 |
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+ | 0.025 | 8.97 | 2988 | 0.0048 |
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+ | 0.0135 | 9.97 | 3320 | 0.0035 |
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+ | 0.0102 | 10.97 | 3652 | 0.0075 |
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+ | 0.0102 | 11.96 | 3984 | 0.0027 |
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+ | 0.0094 | 12.96 | 4316 | 0.0013 |
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+ | 0.0057 | 13.96 | 4648 | 0.0005 |
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+ | 0.0057 | 14.95 | 4980 | 0.0002 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.1
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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