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add_grad_lr5e-4_batch128_train1-16_corrupt17_eval17-18
mtzig/add_grad_lr5e-4_batch128_train1-16_corrupt17_eval17-18
add_grad_lr5e-4_batch128_train1-16_corrupt17_eval17-18 is a machine learning model from mtzig. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- nanogpt
- Access
- Public
- Created
- Apr 13, 2025
- Updated
- Apr 13, 2025
- SHA
- 0aac29f5
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. -->
add_grad_lr5e-4_batch128_train1-16_corrupt17_eval17-18
This model is a fine-tuned version of on an unknown dataset.
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: 0.0005
- train_batch_size: 128
- eval_batch_size: 512
- seed: 23452399
- 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_ratio: 0.1
- num_epochs: 1
Training results
Framework versions
- Transformers 4.46.0
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.20.1
- Library
- transformers
- Type
- nanogpt
- Created
- Apr 13, 2025
- Updated
- Apr 13, 2025