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Bloom – AI Model by julycodes | AlphaNeural AI
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julycodes
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Bloom
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peft
safetensors
generated_from_trainer
bigscience/bloom-560m
adapter
bigscience-bloom-rail-1.0
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Bloom
This model is a fine-tuned version of
bigscience/bloom-560m
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: linear
lr_scheduler_warmup_ratio: 0.03
lr_scheduler_warmup_steps: 100
training_steps: 200
Training results
Framework versions
PEFT 0.8.2
Transformers 4.39.0.dev0
Pytorch 2.2.0
Datasets 2.17.1
Tokenizers 0.15.2
