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--- |
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library_name: transformers |
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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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model-index: |
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- name: fined-tune-thai-sentiment |
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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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# fined-tune-thai-sentiment |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.4121 |
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- eval_model_preparation_time: 0.0134 |
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- eval_accuracy: {'accuracy': 0.8562874251497006} |
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- eval_f1score: {'f1': 0.8323646257901379} |
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- eval_runtime: 16.0554 |
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- eval_samples_per_second: 10.402 |
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- eval_steps_per_second: 1.308 |
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- step: 0 |
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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: 8 |
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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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- lr_scheduler_warmup_steps: 415 |
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- num_epochs: 10 |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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