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roberta-Planetterp-Reviews
Alecdote/roberta-Planetterp-Reviews
roberta-Planetterp-Reviews is a text classification model from Alecdote. 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. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Dec 12, 2025
- Updated
- Dec 12, 2025
- SHA
- eacee148
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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-Planetterp-Reviews
This model is a fine-tuned version of FacebookAI/roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3381
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5161 | 0.1333 | 10 | 1.5380 |
| 1.3822 | 0.2667 | 20 | 1.4684 |
| 1.5115 | 0.4 | 30 | 1.4511 |
| 1.31 | 0.5333 | 40 | 1.4885 |
| 1.5454 | 0.6667 | 50 | 1.4811 |
| 1.4163 | 0.8 | 60 | 1.5608 |
| 1.2721 | 0.9333 | 70 | 1.5238 |
| 1.4281 | 1.0667 | 80 | 1.3979 |
| 1.2657 | 1.2 | 90 | 1.4822 |
| 1.4347 | 1.3333 | 100 | 1.4189 |
| 1.5106 | 1.4667 | 110 | 1.3646 |
| 1.1319 | 1.6 | 120 | 1.1741 |
| 0.8325 | 1.7333 | 130 | 1.0078 |
| 0.883 | 1.8667 | 140 | 1.0296 |
| 0.926 | 2.0 | 150 | 0.9328 |
| 0.9232 | 2.1333 | 160 | 0.8841 |
| 0.8484 | 2.2667 | 170 | 1.2787 |
| 0.8104 | 2.4 | 180 | 0.9983 |
| 0.8624 | 2.5333 | 190 | 1.0868 |
| 0.8709 | 2.6667 | 200 | 1.0485 |
| 0.8681 | 2.8 | 210 | 0.9021 |
| 1.027 | 2.9333 | 220 | 1.0136 |
| 0.8836 | 3.0667 | 230 | 0.9574 |
| 0.8106 | 3.2 | 240 | 1.2070 |
| 1.0653 | 3.3333 | 250 | 1.0175 |
| 0.8685 | 3.4667 | 260 | 1.5487 |
| 1.1295 | 3.6 | 270 | 0.8569 |
| 0.8258 | 3.7333 | 280 | 0.7658 |
| 0.7233 | 3.8667 | 290 | 1.1466 |
| 0.774 | 4.0 | 300 | 1.3155 |
| 0.7213 | 4.1333 | 310 | 1.3360 |
| 1.1467 | 4.2667 | 320 | 0.9843 |
| 1.0224 | 4.4 | 330 | 0.8038 |
| 0.7136 | 4.5333 | 340 | 1.8204 |
| 1.1808 | 4.6667 | 350 | 1.1255 |
| 0.7814 | 4.8 | 360 | 1.2493 |
| 0.5796 | 4.9333 | 370 | 1.1621 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Dec 12, 2025
- Updated
- Dec 12, 2025