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distilbert-base-uncased-finetuned-imdb
nickapch/distilbert-base-uncased-finetuned-imdb
distilbert-base-uncased-finetuned-imdb is a text classification model from nickapch. 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
- Nov 8, 2023
- Updated
- Nov 8, 2023
- SHA
- 413be7ac
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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. -->
distilbert-base-uncased-finetuned-imdb
This model is a fine-tuned version of distilbert-base-uncased on the imdb dataset. It achieves the following results on the evaluation set:
- Loss: 0.2799
- Accuracy: {'accuracy': 0.93148}
- F1: {'f1': 0.9314719475700824}
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=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.2376 | 1.0 | 1563 | 0.2966 | {'accuracy': 0.8966} | {'f1': 0.8959598583205258} |
| 0.1671 | 2.0 | 3126 | 0.2331 | {'accuracy': 0.92996} | {'f1': 0.9299430382567873} |
| 0.0993 | 3.0 | 4689 | 0.2799 | {'accuracy': 0.93148} | {'f1': 0.9314719475700824} |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Nov 8, 2023
- Updated
- Nov 8, 2023