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imdb_classification_on_5M_full_pretrained
ltuzova/imdb_classification_on_5M_full_pretrained
imdb_classification_on_5M_full_pretrained is a text classification model from ltuzova. 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
- roberta
- Access
- Public
- Created
- Apr 11, 2024
- Updated
- Apr 12, 2024
- SHA
- a465578e
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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. -->
imdb_classification_on_5M_full_pretrained
This model is a fine-tuned version of BigTMiami/amazon_pretraining_5M_model_corrected on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2117
- Accuracy: 0.9554
- F1 Macro: 0.9554
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
|---|---|---|---|---|---|
| 0.1997 | 1.0 | 1250 | 0.1740 | 0.947 | 0.9470 |
| 0.1233 | 2.0 | 2500 | 0.1927 | 0.9544 | 0.9544 |
| 0.0796 | 3.0 | 3750 | 0.2194 | 0.9558 | 0.9558 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Apr 11, 2024
- Updated
- Apr 12, 2024