Downloads · 30 days
13
2% of all-time downloads
roberta-base_consumer_complaints
viyer17/roberta-base_consumer_complaints
roberta-base_consumer_complaints is a text classification model from viyer17. 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
630
Public
Parameters
125M
90.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors499 MB · 96%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Sep 27, 2025
- Updated
- Oct 29, 2025
- SHA
- abb111a5
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. -->
roberta-base_consumer_complaints
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6257
- Accuracy: 0.84
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1958 | 1.0 | 100 | 1.3597 | 0.5 |
| 0.7069 | 2.0 | 200 | 1.1261 | 0.5 |
| 0.6899 | 3.0 | 300 | 1.0200 | 0.63 |
| 0.4284 | 4.0 | 400 | 0.6237 | 0.71 |
| 0.5496 | 5.0 | 500 | 0.5001 | 0.83 |
| 0.2662 | 6.0 | 600 | 0.5548 | 0.82 |
| 0.1238 | 7.0 | 700 | 0.6257 | 0.84 |
| 0.0904 | 8.0 | 800 | 0.6389 | 0.84 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Sep 27, 2025
- Updated
- Oct 29, 2025