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--- |
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license: apache-2.0 |
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base_model: distilroberta-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: distilroberta-topic-classification_4 |
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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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# distilroberta-topic-classification_4 |
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.5428 |
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- Acc: 0.7557 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 12345 |
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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: 16 |
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- num_epochs: 20 |
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- mixed_precision_training: Native AMP |
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- label_smoothing_factor: 0.5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Acc | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 3.6261 | 1.0 | 564 | 3.6045 | 0.6610 | |
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| 3.5223 | 2.0 | 1128 | 3.5326 | 0.7111 | |
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| 3.4204 | 3.0 | 1692 | 3.5040 | 0.7322 | |
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| 3.3446 | 4.0 | 2256 | 3.4980 | 0.7400 | |
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| 3.2737 | 5.0 | 2820 | 3.4872 | 0.7539 | |
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| 3.2533 | 6.0 | 3384 | 3.4967 | 0.7555 | |
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| 3.2059 | 7.0 | 3948 | 3.5038 | 0.7613 | |
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| 3.1697 | 8.0 | 4512 | 3.5258 | 0.7537 | |
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| 3.1439 | 9.0 | 5076 | 3.5311 | 0.7573 | |
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| 3.1426 | 10.0 | 5640 | 3.5334 | 0.7544 | |
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| 3.1325 | 11.0 | 6204 | 3.5311 | 0.7562 | |
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| 3.1165 | 12.0 | 6768 | 3.5428 | 0.7557 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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