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bloom_360M_4bit_qlora – AI Model by SaiedAlshahrani | AlphaNeural AI
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bloom_360M_4bit_qlora
This model is a fine-tuned version of
asas-ai/bloom_360m_8bit
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
training_steps: 500
Training results
Framework versions
Transformers 4.32.1
Pytorch 2.0.1+cu117
Datasets 2.4.0
Tokenizers 0.12.1
