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LLama2_Banker_LoRA_Adapters
PiyushLavaniya/LLama2_Banker_LoRA_Adapters
LLama2_Banker_LoRA_Adapters is a machine learning model from PiyushLavaniya. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated Nov 10, 2023
Repo size
33.6 MB
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.safetensors33.6 MB · 95%
At a glance
- Access
- Public
- Created
- Nov 10, 2023
- Updated
- Nov 10, 2023
- SHA
- 3894db85
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. -->
Trainer_output
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf 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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 1200
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Created
- Nov 10, 2023
- Updated
- Nov 10, 2023