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deci-finetuned-alpaca-cleaned
mlninad/deci-finetuned-alpaca-cleaned
deci-finetuned-alpaca-cleaned is a machine learning model from mlninad. 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 other.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Oct 22, 2023
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At a glance
- License
- other
- Access
- Public
- Created
- Oct 22, 2023
- Updated
- Oct 22, 2023
- SHA
- d77cde26
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. -->
deci-finetuned-alpaca-cleaned
This model is a fine-tuned version of Deci/DeciLM-6b-instruct 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: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 1000
Training results
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- License
- other
- Created
- Oct 22, 2023
- Updated
- Oct 22, 2023