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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: distilbert/distilbert-base-uncased |
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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: bert-base-uncased-tweet-disaster-classification |
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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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# bert-base-uncased-tweet-disaster-classification |
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5396 |
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- Accuracy: 0.8076 |
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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: 1e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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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- 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 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 96 | 0.6598 | 0.7439 | |
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| No log | 2.0 | 192 | 0.4624 | 0.8011 | |
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| No log | 3.0 | 288 | 0.4350 | 0.8148 | |
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| No log | 4.0 | 384 | 0.4326 | 0.8188 | |
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| No log | 5.0 | 480 | 0.4331 | 0.8247 | |
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| 0.4631 | 6.0 | 576 | 0.4566 | 0.8227 | |
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| 0.4631 | 7.0 | 672 | 0.4711 | 0.8194 | |
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| 0.4631 | 8.0 | 768 | 0.5045 | 0.8102 | |
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| 0.4631 | 9.0 | 864 | 0.5400 | 0.8050 | |
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| 0.4631 | 10.0 | 960 | 0.5396 | 0.8076 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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