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--- |
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license: mit |
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base_model: roberta-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: fire_or_not |
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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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# fire_or_not |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5768 |
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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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.4667 | 1.0 | 343 | 0.5833 | |
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| 0.7134 | 2.0 | 686 | 0.5768 | |
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| 0.3713 | 3.0 | 1029 | 0.6627 | |
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| 0.2676 | 4.0 | 1372 | 0.5839 | |
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| 0.5337 | 5.0 | 1715 | 0.9343 | |
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| 0.2096 | 6.0 | 2058 | 0.8992 | |
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| 0.0586 | 7.0 | 2401 | 0.9487 | |
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| 0.0483 | 8.0 | 2744 | 1.0178 | |
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| 0.0565 | 9.0 | 3087 | 1.0771 | |
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| 0.1489 | 10.0 | 3430 | 1.0715 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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