Training completed!
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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-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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model.safetensors
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