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minilm-imdb
spolivin/minilm-imdb
minilm-imdb is a text classification model from spolivin. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Dec 30, 2023
- Updated
- Jan 1, 2024
- SHA
- 984e4d3b
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Base models
Datasets
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. -->
minilm-imdb
This model is a fine-tuned version of microsoft/MiniLM-L12-H384-uncased on imdb dataset. It achieves the following results on the evaluation set:
- Loss: 0.2403
- Accuracy: 0.9229
- F1: 0.9228
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: 4
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.1511 | 1.0 | 293 | 0.2212 | 0.9234 | 0.9229 |
| 0.1047 | 2.0 | 586 | 0.2211 | 0.9230 | 0.9217 |
| 0.1008 | 3.0 | 879 | 0.2403 | 0.9229 | 0.9228 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Languages
- en
- Created
- Dec 30, 2023
- Updated
- Jan 1, 2024