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output – AI Model by worde-byte | AlphaNeural AI

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worde-byte/
output

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upstage/SOLAR-10.7B-Instruct-v1.0

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output

This model is a fine-tuned version of upstage/SOLAR-10.7B-Instruct-v1.0 on an unknown dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

The following bitsandbytes quantization config was used during training:

quant_method: bitsandbytes
load_in_8bit: False
load_in_4bit: True
llm_int8_threshold: 6.0
llm_int8_skip_modules: None
llm_int8_enable_fp32_cpu_offload: False
llm_int8_has_fp16_weight: False
bnb_4bit_quant_type: nf4
bnb_4bit_use_double_quant: False
bnb_4bit_compute_dtype: float16

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 40

Training results

Framework versions

PEFT 0.5.0
Transformers 4.36.1
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.15.0