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--- |
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base_model: airesearch/wangchanberta-base-att-spm-uncased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: fine-tune-wangchanberta-TNR-split-headline1 |
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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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# fine-tune-wangchanberta-TNR-split-headline1 |
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This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0717 |
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- Accuracy: 0.5 |
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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: 64 |
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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: 7 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 1.0875 | 1.0 | 5 | 1.0611 | 0.4737 | |
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| 1.0901 | 2.0 | 10 | 1.0551 | 0.4737 | |
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| 1.0898 | 3.0 | 15 | 1.0502 | 0.4737 | |
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| 1.0673 | 4.0 | 20 | 1.0592 | 0.4737 | |
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| 1.0673 | 5.0 | 25 | 1.0477 | 0.4474 | |
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| 1.0689 | 6.0 | 30 | 1.0554 | 0.5263 | |
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| 1.055 | 7.0 | 35 | 1.0717 | 0.5 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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