Downloads · 30 days
11
20% of all-time downloads
amazon_helpfulness_classification_roberta_best_f1
ltuzova/amazon_helpfulness_classification_roberta_best_f1
amazon_helpfulness_classification_roberta_best_f1 is a text classification model from ltuzova. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
56
Public
Parameters
125M
7 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors499 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Apr 13, 2024
- Updated
- Apr 22, 2024
- SHA
- a868180d
Try a prompt
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. -->
amazon_helpfulness_classification_roberta_best_f1
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3205
- Accuracy: 0.8724
- F1 Macro: 0.7004
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=(0.9,0.98) and epsilon=1e-06
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
|---|---|---|---|---|---|
| 0.3311 | 1.0 | 7204 | 0.3180 | 0.8652 | 0.5844 |
| 0.3438 | 2.0 | 14408 | 0.3660 | 0.8676 | 0.5934 |
| 0.3017 | 3.0 | 21612 | 0.3260 | 0.8708 | 0.7031 |
| 0.2725 | 4.0 | 28816 | 0.3767 | 0.8672 | 0.6625 |
| 0.2135 | 5.0 | 36020 | 0.4736 | 0.8676 | 0.6787 |
| 0.172 | 6.0 | 43224 | 0.5067 | 0.8696 | 0.6691 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Apr 13, 2024
- Updated
- Apr 22, 2024