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ttl-roleplay
hieunguyenminh/ttl-roleplay
ttl-roleplay is a machine learning model from hieunguyenminh. 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. --
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At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Dec 18, 2023
- Updated
- Dec 25, 2023
- SHA
- 7e933872
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. -->
ttl-roleplay
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: 0.0002
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 300
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.0+cu118
- Datasets 2.16.0
- Tokenizers 0.15.0
- Library
- peft
- License
- mit
- Created
- Dec 18, 2023
- Updated
- Dec 25, 2023