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--- |
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library_name: transformers |
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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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metrics: |
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- accuracy |
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model-index: |
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- name: time-period-classifier-bert |
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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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# time-period-classifier-bert |
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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: 0.1907 |
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- Accuracy: 0.9674 |
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- F1 Macro: 0.9683 |
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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: 16 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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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 | F1 Macro | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| |
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| 1.1962 | 1.0 | 120 | 0.8911 | 0.6576 | 0.6000 | |
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| 0.8928 | 2.0 | 240 | 0.5397 | 0.7935 | 0.7938 | |
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| 0.565 | 3.0 | 360 | 0.4020 | 0.8605 | 0.8618 | |
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| 0.3721 | 4.0 | 480 | 0.2893 | 0.9094 | 0.9092 | |
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| 0.2123 | 5.0 | 600 | 0.2099 | 0.9438 | 0.9428 | |
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| 0.1374 | 6.0 | 720 | 0.1425 | 0.9692 | 0.9698 | |
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| 0.0682 | 7.0 | 840 | 0.1796 | 0.9656 | 0.9663 | |
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| 0.0451 | 8.0 | 960 | 0.1928 | 0.9674 | 0.9683 | |
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| 0.0275 | 9.0 | 1080 | 0.1870 | 0.9656 | 0.9666 | |
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| 0.0224 | 10.0 | 1200 | 0.1907 | 0.9674 | 0.9683 | |
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### Framework versions |
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- Transformers 4.57.1 |
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- Pytorch 2.2.2 |
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- Datasets 4.4.1 |
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- Tokenizers 0.22.1 |
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