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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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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: lst20-orchid-baseline-new |
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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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# lst20-orchid-baseline-new |
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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: 0.1383 |
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- Precision: 0.8460 |
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- Recall: 0.6761 |
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- F1: 0.7516 |
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- Accuracy: 0.9460 |
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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: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| 0.1753 | 1.0 | 1425 | 0.1463 | 0.8332 | 0.6466 | 0.7281 | 0.9417 | |
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| 0.1513 | 2.0 | 2850 | 0.1457 | 0.8829 | 0.6099 | 0.7214 | 0.9431 | |
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| 0.1393 | 3.0 | 4275 | 0.1388 | 0.8607 | 0.6495 | 0.7403 | 0.9450 | |
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| 0.129 | 4.0 | 5700 | 0.1394 | 0.8561 | 0.6596 | 0.7451 | 0.9455 | |
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| 0.1266 | 5.0 | 7125 | 0.1383 | 0.8460 | 0.6761 | 0.7516 | 0.9460 | |
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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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