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distilbert-sentiment-analysis
harshilj0310/distilbert-sentiment-analysis
distilbert-sentiment-analysis is a machine learning model from harshilj0310. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. 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
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jun 14, 2024
- Updated
- Jun 15, 2024
- SHA
- c63f646a
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. -->
distilbert-sentiment-analysis
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1302
- Accuracy: {'accuracy': 0.9528820856254484}
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: 0.001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2055 | 1.0 | 610 | 0.1353 | {'accuracy': 0.9492944271705334} |
| 0.1416 | 2.0 | 1220 | 0.1264 | {'accuracy': 0.9521645539344654} |
| 0.1115 | 3.0 | 1830 | 0.1302 | {'accuracy': 0.9528820856254484} |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Jun 14, 2024
- Updated
- Jun 15, 2024