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mistral-finetuned
justinlevi/mistral-finetuned
mistral-finetuned is a machine learning model from justinlevi. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Oct 30, 2023
Repo size
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Oct 30, 2023
- Updated
- Oct 30, 2023
- SHA
- 861c698f
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. -->
mistral-finetuned
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-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: 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: 20
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.35.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- License
- apache-2.0
- Created
- Oct 30, 2023
- Updated
- Oct 30, 2023