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xwin-finetuned-alpaca-cleaned
satyathakur/xwin-finetuned-alpaca-cleaned
xwin-finetuned-alpaca-cleaned is a machine learning model from satyathakur. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as llama2.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated Oct 19, 2023
Repo size
572 MB
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Repo makeup
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.bin33.6 MB · 93%
At a glance
- License
- llama2
- Access
- Public
- Created
- Oct 19, 2023
- Updated
- Oct 19, 2023
- SHA
- 9ceb4a22
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. -->
xwin-finetuned-alpaca-cleaned
This model is a fine-tuned version of TheBloke/Xwin-LM-7B-V0.1-GPTQ on an unknown 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: 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
Training results
Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- License
- llama2
- Created
- Oct 19, 2023
- Updated
- Oct 19, 2023