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BLOOM-alpaca-lora_qa – AI Model by prognosis | AlphaNeural AI
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prognosis
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BLOOM-alpaca-lora_qa
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pytorch
generated_from_trainer
bigscience-bloom-rail-1.0
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BLOOM-alpaca-lora_qa
This model is a fine-tuned version of
bigscience/bloom-3b
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: 0.0003
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 3
Training results
Framework versions
Transformers 4.30.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
