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gpn_balanced_brassica
nberkowitz/gpn_balanced_brassica
gpn_balanced_brassica is a machine learning model from nberkowitz. 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
- GPN
- Access
- Public
- Created
- Apr 23, 2025
- Updated
- Apr 23, 2025
- SHA
- d7f8ba36
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. -->
model
This model is a fine-tuned version of on the nberkowitz/gpn_original_balanced_v1 dataset. It achieves the following results on the evaluation set:
- Loss: 1.1202
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: 64
- eval_batch_size: 512
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 120000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.118 | 3.04 | 60000 | 1.1374 |
| 1.0932 | 6.07 | 120000 | 1.1205 |
Framework versions
- Transformers 4.30.0
- Pytorch 2.4.1
- Datasets 3.1.0
- Tokenizers 0.13.3
- Type
- GPN
- Created
- Apr 23, 2025
- Updated
- Apr 23, 2025