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lltransformer-ar1-test2-simplified-normed
mtzig/lltransformer-ar1-test2-simplified-normed
lltransformer-ar1-test2-simplified-normed 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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Updated Oct 1, 2025
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At a glance
- Library
- transformers
- Access
- Public
- Created
- Sep 30, 2025
- Updated
- Oct 1, 2025
- SHA
- 8c934327
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. -->
lltransformer-ar1-test2-simplified-normed
This model is a fine-tuned version of on the None 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: 0.0006
- train_batch_size: 4
- eval_batch_size: 4
- seed: 1234
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- 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: 0.03
- num_epochs: 1
Training results
Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0+cu128
- Datasets 3.5.0
- Tokenizers 0.21.1
- Library
- transformers
- Created
- Sep 30, 2025
- Updated
- Oct 1, 2025