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llama3_finetuned_legal
sonhask/llama3_finetuned_legal
llama3_finetuned_legal is a machine learning model from sonhask. 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 llama3.2.
should probably proofread and complete it, then remove this comment. --
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.json17.3 MB · 56%
At a glance
- Library
- peft
- License
- llama3.2
- Access
- Public
- Created
- Apr 16, 2025
- Updated
- Apr 16, 2025
- SHA
- 086bcb48
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. -->
llama3_finetuned_legal
This model is a fine-tuned version of unsloth/llama-3.2-1b-instruct-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.2851
- eval_runtime: 4366.8646
- eval_samples_per_second: 3.488
- eval_steps_per_second: 0.218
- epoch: 1.0
- step: 1428
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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
- num_epochs: 2
- mixed_precision_training: Native AMP
Framework versions
- PEFT 0.14.0
- Transformers 4.51.1
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.0
- Library
- peft
- License
- llama3.2
- Created
- Apr 16, 2025
- Updated
- Apr 16, 2025