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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-Classifier-T4_predictLabel_a1_v8 |
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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-Classifier-T4_predictLabel_a1_v8 |
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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: 0.0078 |
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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: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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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: 50 |
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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 | 0.99 | 97 | 0.5015 | |
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| No log | 1.98 | 194 | 0.3145 | |
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| No log | 2.97 | 291 | 0.2217 | |
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| No log | 3.96 | 388 | 0.1995 | |
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| No log | 4.95 | 485 | 0.1427 | |
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| 0.4489 | 5.94 | 582 | 0.1056 | |
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| 0.4489 | 6.93 | 679 | 0.0765 | |
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| 0.4489 | 7.92 | 776 | 0.0530 | |
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| 0.4489 | 8.91 | 873 | 0.0605 | |
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| 0.4489 | 9.9 | 970 | 0.0387 | |
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| 0.1098 | 10.89 | 1067 | 0.0360 | |
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| 0.1098 | 11.88 | 1164 | 0.0179 | |
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| 0.1098 | 12.87 | 1261 | 0.0104 | |
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| 0.1098 | 13.86 | 1358 | 0.0135 | |
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| 0.1098 | 14.85 | 1455 | 0.0066 | |
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| 0.0301 | 15.84 | 1552 | 0.0137 | |
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| 0.0301 | 16.83 | 1649 | 0.0078 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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