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hospitality_intents_pretrained_distilbert
WellaBanda/hospitality_intents_pretrained_distilbert
hospitality_intents_pretrained_distilbert is a text classification model from WellaBanda. 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
- Feb 26, 2024
- Updated
- Feb 26, 2024
- SHA
- fff0c46e
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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. -->
hospitality_intents_pretrained_distilbert
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0207
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0013 | 1.0 | 10303 | 0.0425 |
| 0.0001 | 2.0 | 20606 | 0.0300 |
| 0.0184 | 3.0 | 30909 | 0.0285 |
| 0.0 | 4.0 | 41212 | 0.0214 |
| 0.0 | 5.0 | 51515 | 0.0207 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Feb 26, 2024
- Updated
- Feb 26, 2024