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imdb_classification_on_5M_full_pretrained_best_epoch_f1
ltuzova/imdb_classification_on_5M_full_pretrained_best_epoch_f1
imdb_classification_on_5M_full_pretrained_best_epoch_f1 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 13, 2024
- Updated
- Apr 13, 2024
- SHA
- 76196282
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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_best_epoch_f1
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: 0.2685
- Accuracy: 0.9533
- F1 Macro: 0.9533
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
|---|---|---|---|---|---|
| 0.2288 | 1.0 | 1250 | 0.2010 | 0.9454 | 0.9454 |
| 0.146 | 2.0 | 2500 | 0.1817 | 0.9512 | 0.9512 |
| 0.112 | 3.0 | 3750 | 0.2431 | 0.951 | 0.9510 |
| 0.0511 | 4.0 | 5000 | 0.2766 | 0.9518 | 0.9518 |
| 0.0456 | 5.0 | 6250 | 0.2608 | 0.9506 | 0.9506 |
| 0.0161 | 6.0 | 7500 | 0.4087 | 0.9498 | 0.9498 |
| 0.0073 | 7.0 | 8750 | 0.4011 | 0.9502 | 0.9502 |
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 13, 2024
- Updated
- Apr 13, 2024