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yelp-model-3k-8layer-1e-5lr
mogmyij/yelp-model-3k-8layer-1e-5lr
yelp-model-3k-8layer-1e-5lr is a text classification model from mogmyij. 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
- bert
- Access
- Public
- Created
- Feb 29, 2024
- Updated
- Feb 29, 2024
- SHA
- 20b6274b
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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. -->
yelp-model-3k-8layer-1e-5lr
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9104
- Accuracy: 0.607
- F1: 0.6086
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-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.4436 | 1.0 | 750 | 1.0488 | 0.533 | 0.5061 |
| 0.9581 | 2.0 | 1500 | 0.9257 | 0.585 | 0.5920 |
| 0.8438 | 3.0 | 2250 | 0.9227 | 0.601 | 0.5948 |
| 0.7451 | 4.0 | 3000 | 0.9104 | 0.607 | 0.6086 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Feb 29, 2024
- Updated
- Feb 29, 2024