Feluda
/

Zephyr-7b-QnA

Question Answering

text-generation

generated_from_trainer 4-bit

text-generation-inference

Inference Endpoints

4-bit precision

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This Model is Finetuned for Document Question and Answering purpose Trained on the yahma/alpaca-cleaned(https://huggingface.co/TheBloke/zephyr-7B-beta-GPTQ) dataset.

Model Details

Training hyperparameters

The following hyperparameters were used during training:

-gradient_accumulation_steps=1,

-warmup_steps=5,

-max_steps=20,

-learning_rate=2e-4,

-fp16=not torch.cuda.is_bf16_supported(),

-bf16=torch.cuda.is_bf16_supported(),

-logging_steps=1,

-optim="adamw_8bit",

-weight_decay=0.01,

-lr_scheduler_type="linear",

-seed=3407,

Framework versions
PEFT 0.7.1
Transformers 4.36.0
Pytorch 2.0.0
Datasets 2.16.1
Tokenizers 0.15.0

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Dataset used to train Feluda/Zephyr-7b-QnA