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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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metrics:
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- accuracy
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model-index:
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- name: classification_chnsenticorp_scarce
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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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# classification_chnsenticorp_scarce
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This model is a fine-tuned version of [hfl/chinese-roberta-wwm-ext](https://huggingface.co/hfl/chinese-roberta-wwm-ext) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1471
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- Accuracy: 0.95
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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: 2e-05
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- train_batch_size: 10
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- eval_batch_size: 10
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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: 10
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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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| 0.7013 | 1.0 | 10 | 0.6046 | 0.75 |
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| 0.528 | 2.0 | 20 | 0.4940 | 0.8 |
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| 0.3064 | 3.0 | 30 | 0.2488 | 0.95 |
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| 0.1146 | 4.0 | 40 | 0.1245 | 0.95 |
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| 0.067 | 5.0 | 50 | 0.1003 | 0.9 |
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| 0.0323 | 6.0 | 60 | 0.1148 | 0.9 |
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| 0.0124 | 7.0 | 70 | 0.1444 | 0.95 |
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| 0.0064 | 8.0 | 80 | 0.1579 | 0.95 |
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| 0.0047 | 9.0 | 90 | 0.1512 | 0.95 |
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| 0.0046 | 10.0 | 100 | 0.1471 | 0.95 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.0+cu116
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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