Downloads · 30 days
6
19% of all-time downloads
twitter-roberta_stanfordnlp_imdb_SetFit_tweet_ep3_bs16_lr2e-05_v1
PierrePol/twitter-roberta_stanfordnlp_imdb_SetFit_tweet_ep3_bs16_lr2e-05_v1
twitter-roberta_stanfordnlp_imdb_SetFit_tweet_ep3_bs16_lr2e-05_v1 is a text classification model from PierrePol. 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
31
Public
Parameters
125M
499 MB 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
- cc-by-4.0
- Model type
- roberta
- Access
- Public
- Created
- Jun 21, 2026
- Updated
- Jun 21, 2026
- SHA
- 264c6756
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. -->
twitter-roberta_stanfordnlp_imdb_SetFit_tweet_ep3_bs16_lr2e-05_v1
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment-latest on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2899
- Accuracy: 0.921
- Precision: 0.9204
- Recall: 0.921
- F1: 0.9206
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: 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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.4472 | 1.0 | 250 | 0.2915 | 0.905 | 0.9076 | 0.905 | 0.9050 |
| 0.3774 | 2.0 | 500 | 0.2584 | 0.92 | 0.9199 | 0.92 | 0.9197 |
| 0.1567 | 3.0 | 750 | 0.2899 | 0.921 | 0.9204 | 0.921 | 0.9206 |
Framework versions
- Transformers 5.9.0
- Pytorch 2.12.0+cu126
- Datasets 4.8.5
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- cc-by-4.0
- Created
- Jun 21, 2026
- Updated
- Jun 21, 2026