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README.md
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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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