Downloads · 30 days
9
23% of all-time downloads
law_reso
Chirag0123/law_reso
law_reso is a machine learning model from Chirag0123. 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 mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
40
Public
Repo size
983 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors27.3 MB · 92%
At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Mar 12, 2024
- Updated
- Mar 12, 2024
- SHA
- a57aa56d
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. -->
law_reso
This model is a fine-tuned version of TheBloke/zephyr-7B-beta-GPTQ 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: 2e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 250
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.0
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- License
- mit
- Created
- Mar 12, 2024
- Updated
- Mar 12, 2024