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id4b-tiny-qlora – AI Model by Nemo30 | AlphaNeural AI
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id4b-tiny-qlora
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
TinyLlama/TinyLlama-1.1B-Chat-v1.0
apache-2.0
us
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id4b-tiny-qlora
This model is a fine-tuned version of
TinyLlama/TinyLlama-1.1B-Chat-v1.0
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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 500
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
