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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- load_train |
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metrics: |
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- accuracy |
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model-index: |
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- name: thucnews |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: load_train |
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type: load_train |
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config: default |
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split: train |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9433 |
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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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# thucnews |
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This model is a fine-tuned version of [hfl/rbt6](https://huggingface.co/hfl/rbt6) on the load_train dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3191 |
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- Accuracy: 0.9433 |
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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: 0.0001 |
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- train_batch_size: 256 |
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- eval_batch_size: 256 |
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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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- mixed_precision_training: Native AMP |
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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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| 0.2038 | 1.0 | 704 | 0.2018 | 0.9332 | |
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| 0.1403 | 2.0 | 1408 | 0.1829 | 0.9406 | |
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| 0.0894 | 3.0 | 2112 | 0.2073 | 0.9419 | |
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| 0.056 | 4.0 | 2816 | 0.2228 | 0.9408 | |
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| 0.0321 | 5.0 | 3520 | 0.2689 | 0.9417 | |
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| 0.0209 | 6.0 | 4224 | 0.2819 | 0.9431 | |
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| 0.0099 | 7.0 | 4928 | 0.3131 | 0.9421 | |
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| 0.0057 | 8.0 | 5632 | 0.3191 | 0.9433 | |
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### Framework versions |
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- Transformers 4.22.1 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.5.1 |
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- Tokenizers 0.12.1 |
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