tangminhanh commited on
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pd_subcate

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: tangminhanh/pd_cate
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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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+ - f1
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+ - precision
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+ - recall
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+ model-index:
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+ - name: pd_subcate
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+ results: []
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+ ---
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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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+
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+ # pd_subcate
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+
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+ This model is a fine-tuned version of [tangminhanh/pd_cate](https://huggingface.co/tangminhanh/pd_cate) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0817
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+ - Accuracy: 0.0626
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+ - F1: 0.1103
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+ - Precision: 0.4717
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+ - Recall: 0.0624
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 8
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | No log | 1.0 | 100 | 0.1179 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | No log | 2.0 | 200 | 0.1039 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | No log | 3.0 | 300 | 0.0949 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | No log | 4.0 | 400 | 0.0888 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.1312 | 5.0 | 500 | 0.0852 | 0.0113 | 0.0217 | 0.3333 | 0.0112 |
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+ | 0.1312 | 6.0 | 600 | 0.0838 | 0.0413 | 0.0758 | 0.4714 | 0.0412 |
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+ | 0.1312 | 7.0 | 700 | 0.0820 | 0.0601 | 0.1062 | 0.4660 | 0.0599 |
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+ | 0.1312 | 8.0 | 800 | 0.0817 | 0.0626 | 0.1103 | 0.4717 | 0.0624 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.4
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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