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gpad-v22-taskA-entropy-only-smpl
ranjankn/gpad-v22-taskA-entropy-only-smpl
gpad-v22-taskA-entropy-only-smpl is a machine learning model from ranjankn. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- roberta
- Access
- Public
- Created
- Nov 4, 2025
- Updated
- Nov 4, 2025
- SHA
- fd5e8316
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. -->
gpad-v22-taskA-entropy-only-smpl
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3891
- Accuracy: 0.86
- F1 Macro: 0.8727
- F1 Weighted: 0.8592
- Precision Macro: 0.8276
- Recall Macro: 0.9231
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: 24
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Weighted | Precision Macro | Recall Macro |
|---|---|---|---|---|---|---|---|---|
| No log | 0.9231 | 6 | 0.6606 | 0.5 | 0.0741 | 0.3541 | 1.0 | 0.0385 |
| No log | 2.0 | 13 | 0.5480 | 0.82 | 0.8235 | 0.8201 | 0.84 | 0.8077 |
| No log | 2.9231 | 19 | 0.4500 | 0.84 | 0.8519 | 0.8395 | 0.8214 | 0.8846 |
| No log | 4.0 | 26 | 0.3971 | 0.86 | 0.8727 | 0.8592 | 0.8276 | 0.9231 |
| No log | 4.6154 | 30 | 0.3891 | 0.86 | 0.8727 | 0.8592 | 0.8276 | 0.9231 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.8.0+cu126
- Datasets 4.3.0
- Tokenizers 0.19.1
- Type
- roberta
- Created
- Nov 4, 2025
- Updated
- Nov 4, 2025