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consequence-model-2025-11-03_12.51.52
BenediktSchuck/consequence-model-2025-11-03_12.51.52
consequence-model-2025-11-03_12.51.52 is a machine learning model from BenediktSchuck. 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 peft. The card lists the license as llama3.1.
should probably proofread and complete it, then remove this comment. --
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Repo size
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At a glance
- Library
- peft
- License
- llama3.1
- Access
- Public
- Created
- Nov 3, 2025
- Updated
- Nov 3, 2025
- SHA
- b56ec405
Base models
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. -->
consequence-model-2025-11-03_12.51.52
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- optimizer: Use OptimizerNames.PAGED_ADAMW 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
Framework versions
- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.4
- Library
- peft
- License
- llama3.1
- Created
- Nov 3, 2025
- Updated
- Nov 3, 2025