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Adapt-law-lawbot
Pot-l/Adapt-law-lawbot
Adapt-law-lawbot is a machine learning model from Pot-l. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Access
- Public
- Created
- Mar 20, 2024
- Updated
- Mar 20, 2024
- SHA
- 38db4ab8
Base models
Datasets
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. -->
Adapt-law-lawbot
This model is a fine-tuned version of AdaptLLM/law-LLM on the generator 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: 0.0002
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2
Training results
Framework versions
- PEFT 0.9.1.dev0
- Transformers 4.38.1
- Pytorch 2.1.2+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
- Library
- peft
- Created
- Mar 20, 2024
- Updated
- Mar 20, 2024