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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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model-index:
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- name: CS505-L2T_AP2_filter3_CSI-PhoBERT
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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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# CS505-L2T_AP2_filter3_CSI-PhoBERT
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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: 0.0061
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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: 32
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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: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.99 | 325 | 0.1175 |
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| 0.2249 | 3.99 | 650 | 0.0769 |
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| 0.2249 | 5.98 | 975 | 0.0258 |
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| 0.0724 | 7.98 | 1300 | 0.0118 |
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| 0.0302 | 9.97 | 1625 | 0.0079 |
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| 0.0302 | 11.96 | 1950 | 0.0053 |
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| 0.0154 | 13.96 | 2275 | 0.0061 |
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### Framework versions
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- Transformers 4.39.1
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- Pytorch 2.1.2
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- Datasets 2.1.0
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- Tokenizers 0.15.2
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model.safetensors
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