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--- |
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license: apache-2.0 |
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base_model: distilbert-base-uncased |
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tags: |
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- generated_from_trainer |
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datasets: |
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- yahoo_answers_topics |
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metrics: |
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- accuracy |
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model-index: |
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- name: topic_classification |
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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: yahoo_answers_topics |
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type: yahoo_answers_topics |
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config: yahoo_answers_topics |
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split: test |
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args: yahoo_answers_topics |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.7125166666666667 |
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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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# topic_classification |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the yahoo_answers_topics dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9119 |
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- Accuracy: 0.7125 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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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- training_steps: 30000 |
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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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| 1.0187 | 0.0286 | 5000 | 1.0647 | 0.6695 | |
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| 0.9944 | 0.0571 | 10000 | 1.0281 | 0.6782 | |
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| 0.9641 | 0.0857 | 15000 | 0.9694 | 0.6969 | |
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| 0.8833 | 0.1143 | 20000 | 0.9426 | 0.7045 | |
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| 0.9416 | 0.1429 | 25000 | 0.9239 | 0.7093 | |
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| 0.932 | 0.1714 | 30000 | 0.9119 | 0.7125 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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