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roberta-base-anion-1e-06-256-stsb-lr2e-05-bs32
mhr2004/roberta-base-anion-1e-06-256-stsb-lr2e-05-bs32
roberta-base-anion-1e-06-256-stsb-lr2e-05-bs32 is a text classification model from mhr2004. 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
- May 16, 2025
- Updated
- May 16, 2025
- SHA
- b0d5aa07
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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-base-anion-1e-06-256-stsb-lr2e-05-bs32
This model is a fine-tuned version of mhr2004/roberta-base-anion-1e-06-256 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0176
- Pearson: 0.9055
- Spearman: 0.9036
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearman |
|---|---|---|---|---|---|
| 0.029 | 1.0 | 180 | 0.0186 | 0.8927 | 0.8957 |
| 0.0215 | 2.0 | 360 | 0.0227 | 0.9006 | 0.9022 |
| 0.0163 | 3.0 | 540 | 0.0223 | 0.9045 | 0.9030 |
| 0.0127 | 4.0 | 720 | 0.0176 | 0.9055 | 0.9036 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- May 16, 2025
- Updated
- May 16, 2025