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bloom_3B_4bit_qlora_mlqa_v2 – AI Model by SaiedAlshahrani | AlphaNeural AI
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bloom_3B_4bit_qlora_mlqa_v2
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tensorboard
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asas-ai/bloom_3B_8bit
finetune
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bloom_3B_4bit_qlora_mlqa_v2
This model is a fine-tuned version of
asas-ai/bloom_3B_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: 2200
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.35.2
Pytorch 2.1.1+cu121
Datasets 2.14.6
Tokenizers 0.15.0
