Downloads · 30 days
8
2% of all-time downloads
SentimentAnalysis-YelpReviews-OptimizedModel-Tryout
ElizaClaPa/SentimentAnalysis-YelpReviews-OptimizedModel-Tryout
SentimentAnalysis-YelpReviews-OptimizedModel-Tryout is a text classification model from ElizaClaPa. 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. --
All-time downloads
427
Public
Parameters
67M
2.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors268 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Jul 13, 2024
- Updated
- Jul 13, 2024
- SHA
- 989d5319
Try a prompt
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. -->
SentimentAnalysis-YelpReviews-OptimizedModel-Tryout
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9073
- Accuracy: 0.6781
- F1: 0.6779
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: 8
- eval_batch_size: 8
- 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 | F1 |
|---|---|---|---|---|---|
| 0.3425 | 1.0 | 81250 | 0.8438 | 0.6780 | 0.6775 |
| 0.447 | 2.0 | 162500 | 0.7894 | 0.6826 | 0.6836 |
| 0.4338 | 3.0 | 243750 | 0.9073 | 0.6781 | 0.6779 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Created
- Jul 13, 2024
- Updated
- Jul 13, 2024