Downloads · 30 days
9
3% of all-time downloads
zephyr-7b-beta_question-answering
lvcalucioli/zephyr-7b-beta_question-answering
zephyr-7b-beta_question-answering is a machine learning model from lvcalucioli. 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
316
Public
Repo size
1.8 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors13.6 MB · 86%
At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Feb 18, 2024
- Updated
- Feb 21, 2024
- SHA
- 5dfa1c4e
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. -->
zephyr-7b-beta_question-answering
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 12
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.8.2
- Transformers 4.38.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.2
- Library
- peft
- License
- mit
- Created
- Feb 18, 2024
- Updated
- Feb 21, 2024