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--- |
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base_model: distilbert/distilbert-base-uncased |
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library_name: peft |
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license: apache-2.0 |
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metrics: |
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- accuracy |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: news-category-classifier-distilbert |
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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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# news-category-classifier-distilbert |
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1640 |
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- Accuracy: 0.9474 |
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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: 0.0002 |
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- train_batch_size: 32 |
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- eval_batch_size: 128 |
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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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Accuracy | Validation Loss | |
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|:-------------:|:-----:|:-----:|:--------:|:---------------:| |
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| 0.3293 | 1.0 | 2289 | 0.9119 | 0.2599 | |
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| 0.0576 | 2.0 | 4578 | 0.9193 | 0.2425 | |
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| 0.4575 | 3.0 | 6867 | 0.9223 | 0.2401 | |
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| 0.0339 | 4.0 | 9156 | 0.9245 | 0.2353 | |
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| 0.0512 | 5.0 | 11445 | 0.9267 | 0.2367 | |
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| 0.3254 | 6.0 | 13734 | 0.9267 | 0.2367 | |
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| 0.5933 | 7.0 | 16023 | 0.9482 | 0.1654 | |
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| 0.136 | 8.0 | 18312 | 0.9482 | 0.1654 | |
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| 0.3128 | 9.0 | 20601 | 0.1640 | 0.9474 | |
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| 0.0458 | 10.0 | 22890 | 0.1640 | 0.9474 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.42.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
