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bloom-7b1-bmlama-lora-adapter – AI Model by taoranl2 | AlphaNeural AI
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bloom-7b1-bmlama-lora-adapter
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peft
safetensors
adapter
llama-factory
lora
transformers
text-generation
conversational
bigscience/bloom-7b1
bigscience-bloom-rail-1.0
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bloom-7b1-bmlama-lora
This model is a fine-tuned version of
bigscience/bloom-7b1
on the bmlama_53_pretrain 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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 128
total_eval_batch_size: 32
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2.0
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.17.1
Transformers 4.57.1
Pytorch 2.9.0+cu128
Datasets 4.0.0
Tokenizers 0.22.1
