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finetuning-sentiment-model-3000-samples-6pm
ttwj-sutd/finetuning-sentiment-model-3000-samples-6pm
finetuning-sentiment-model-3000-samples-6pm is a text classification model from ttwj-sutd. 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
- Apr 17, 2022
- Updated
- Apr 17, 2022
- SHA
- 36eedbc4
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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. -->
finetuning-sentiment-model-3000-samples-6pm
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: 0.2896
- Precision: 0.875
- Recall: 0.8867
- F1: 0.8808
- Accuracy: 0.88
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: 1e-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
- num_epochs: 11
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 188 | 0.3436 | 0.8633 | 0.8 | 0.8304 | 0.8367 |
| No log | 2.0 | 376 | 0.2896 | 0.875 | 0.8867 | 0.8808 | 0.88 |
| 0.3 | 3.0 | 564 | 0.3330 | 0.8693 | 0.8867 | 0.8779 | 0.8767 |
| 0.3 | 4.0 | 752 | 0.4378 | 0.8766 | 0.9 | 0.8882 | 0.8867 |
| 0.3 | 5.0 | 940 | 0.5198 | 0.8284 | 0.9333 | 0.8777 | 0.87 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.1.0
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Apr 17, 2022
- Updated
- Apr 17, 2022