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gpn-star-maize-v1
gonzalobenegas/gpn-star-maize-v1
gpn-star-maize-v1 is a fill-mask model from gonzalobenegas. Use it when you need the model to fill a missing word. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- GPNStar
- Access
- Public
- Created
- Oct 4, 2025
- Updated
- Oct 4, 2025
- SHA
- 0bd35a66
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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. -->
fire_1/0.05/128/64/True/defined.phastCons.percentile-75_0.05_0.001/small/0.1/42/50000/True/True/0.1
This model is a fine-tuned version of on the results/dataset/128/64/True/defined.phastCons.percentile-75_0.05_0.001 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1115
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 128
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 512
- total_eval_batch_size: 1024
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 2500
- training_steps: 50000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1298 | 1.9450 | 5000 | 0.1270 |
| 0.1192 | 3.8897 | 10000 | 0.1170 |
| 0.1164 | 5.8345 | 15000 | 0.1148 |
| 0.1149 | 7.7792 | 20000 | 0.1128 |
| 0.1137 | 9.7240 | 25000 | 0.1121 |
| 0.1131 | 11.6687 | 30000 | 0.1120 |
| 0.1126 | 13.6135 | 35000 | 0.1124 |
| 0.1124 | 15.5583 | 40000 | 0.1117 |
| 0.1124 | 17.5030 | 45000 | 0.1112 |
| 0.1122 | 19.4478 | 50000 | 0.1116 |
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0+cu128
- Datasets 4.1.1
- Tokenizers 0.22.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- GPNStar
- Created
- Oct 4, 2025
- Updated
- Oct 4, 2025