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llama7b-lora-380k
libigfat/llama7b-lora-380k
llama7b-lora-380k is a machine learning model from libigfat. 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 Apr 27, 2023
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At a glance
- License
- other
- Access
- Public
- Created
- Apr 27, 2023
- Updated
- Apr 27, 2023
- SHA
- 33e3e415
Datasets
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. -->
052_lmflow_inst-tuning_model-llama-7b_num-epoch-5_init-lr-1e-4_bf-16_lora_blocksize768
This model is a fine-tuned version of decapoda-research/llama-7b-hf on the lmflow_instruction 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: 0.0001
- train_batch_size: 6
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 48
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2
- License
- other
- Created
- Apr 27, 2023
- Updated
- Apr 27, 2023