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distilbert-base-uncased-finetune-disaster-classify
dhrumilp2312/distilbert-base-uncased-finetune-disaster-classify
distilbert-base-uncased-finetune-disaster-classify is a text classification model from dhrumilp2312. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Nov 7, 2025
- Updated
- Nov 7, 2025
- SHA
- b19a985f
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
distilbert-base-uncased-finetune-disaster-classify
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6318
- Accuracy: 0.8083
- F1: 0.8072
- Precision: 0.8077
- Recall: 0.8083
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.0099 | 1.0 | 96 | 1.6421 | 0.8004 | 0.8001 | 0.8000 | 0.8004 |
| 0.0148 | 2.0 | 192 | 1.4070 | 0.8148 | 0.8129 | 0.8154 | 0.8148 |
| 0.0091 | 3.0 | 288 | 1.4884 | 0.8122 | 0.8102 | 0.8128 | 0.8122 |
| 0.0086 | 4.0 | 384 | 1.5121 | 0.8070 | 0.8057 | 0.8065 | 0.8070 |
| 0.0079 | 5.0 | 480 | 1.6388 | 0.8030 | 0.8027 | 0.8025 | 0.8030 |
| 0.0075 | 6.0 | 576 | 1.5770 | 0.8129 | 0.8109 | 0.8135 | 0.8129 |
| 0.0073 | 7.0 | 672 | 1.6498 | 0.8043 | 0.8036 | 0.8036 | 0.8043 |
| 0.0078 | 8.0 | 768 | 1.6318 | 0.8083 | 0.8072 | 0.8077 | 0.8083 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Nov 7, 2025
- Updated
- Nov 7, 2025