Downloads · 30 days
14
1% of all-time downloads
roberta-base-bne-finetuned-amazon_reviews_multi
Hormigo/roberta-base-bne-finetuned-amazon_reviews_multi
roberta-base-bne-finetuned-amazon_reviews_multi is a text classification model from Hormigo. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
1.1K
Public
Repo size
997 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin499 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- cc-by-4.0
- Model type
- roberta
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Aug 30, 2021
- SHA
- 3a4dcddc
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. -->
roberta-base-bne-finetuned-amazon_reviews_multi
This model is a fine-tuned version of BSC-TeMU/roberta-base-bne on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:
- Loss: 0.2275
- Accuracy: 0.9335
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 |
|---|---|---|---|---|
| 0.1909 | 1.0 | 1250 | 0.1717 | 0.9333 |
| 0.0932 | 2.0 | 2500 | 0.2275 | 0.9335 |
Framework versions
- Transformers 4.9.2
- Pytorch 1.9.0+cu102
- Datasets 1.11.0
- Tokenizers 0.10.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- cc-by-4.0
- Created
- Mar 2, 2022
- Updated
- Aug 30, 2021