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REVSEN-V1
HoussemMammeri/REVSEN-V1
REVSEN-V1 is a text classification model from HoussemMammeri. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Jun 22, 2023
- Updated
- Jun 26, 2023
- SHA
- 51a7176d
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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. -->
REVSEN-V1
This model is a fine-tuned version of juliensimon/reviews-sentiment-analysis on the imdb dataset. It achieves the following results on the evaluation set:
- Loss: 0.2209
- Accuracy: 0.9334
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
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2174 | 1.0 | 1563 | 0.1812 | 0.9295 |
| 0.1387 | 2.0 | 3126 | 0.2209 | 0.9334 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Created
- Jun 22, 2023
- Updated
- Jun 26, 2023