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zephyr-7b-lora-64-no-quant-all – AI Model by YYYYYYibo | AlphaNeural AI
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YYYYYYibo
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zephyr-7b-lora-64-no-quant-all
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peft
tensorboard
safetensors
mistral
alignment-handbook
generated_from_trainer
trl
dpo
updated
original
alignment-handbook/zephyr-7b-sft-full
adapter
apache-2.0
us
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zephyr-7b-lora-64-no-quant-all
This model is a fine-tuned version of
YYYYYYibo/zephyr-7b-lora-64-no-quant-4k
on the updated and the original datasets.
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: 5e-06
train_batch_size: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 32
total_train_batch_size: 256
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Framework versions
PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.14.6
Tokenizers 0.15.2
