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claire-7b-instruct-bf16-peft-rank8-1000
PhilSad/claire-7b-instruct-bf16-peft-rank8-1000
claire-7b-instruct-bf16-peft-rank8-1000 is a machine learning model from PhilSad. 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 cc-by-nc-sa-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- cc-by-nc-sa-4.0
- Access
- Public
- Created
- Feb 18, 2024
- Updated
- Feb 18, 2024
- SHA
- dce7002b
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. -->
claire-7b-instruct-bf16-peft-rank8-1000
This model is a fine-tuned version of OpenLLM-France/Claire-7B-0.1 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 1000
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.0+cu118
- Datasets 2.17.0
- Tokenizers 0.15.2
- Library
- peft
- License
- cc-by-nc-sa-4.0
- Created
- Feb 18, 2024
- Updated
- Feb 18, 2024