Downloads · 30 days
12
2% of all-time downloads
electricidad-small-finetuned-amazon-review-classification
richardc7/electricidad-small-finetuned-amazon-review-classification
electricidad-small-finetuned-amazon-review-classification is a text classification model from richardc7. 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
627
Public
Repo size
436 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin54.5 MB · 98%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- electra
- Access
- Public
- Created
- Mar 17, 2022
- Updated
- Mar 19, 2022
- SHA
- 31f9a7d8
Try a prompt
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. -->
electricidad-small-finetuned-amazon-review-classification
This model is a fine-tuned version of mrm8488/electricidad-small-discriminator on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:
- Loss: 0.9601
- Accuracy: 0.581
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0136 | 1.0 | 25000 | 1.0153 | 0.5414 |
| 0.9416 | 2.0 | 50000 | 0.9942 | 0.5576 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6
- Task
- Text Classification
- Library
- transformers
- Type
- electra
- Created
- Mar 17, 2022
- Updated
- Mar 19, 2022