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lora-data1-data2-tinyllama – AI Model by chaimachabir | AlphaNeural AI
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chaimachabir
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lora-data1-data2-tinyllama
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peft
safetensors
generated_from_trainer
TinyLlama/TinyLlama-1.1B-Chat-v1.0
adapter
apache-2.0
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lora-data1-data2-tinyllama
This model is a fine-tuned version of
TinyLlama/TinyLlama-1.1B-Chat-v1.0
on the None 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
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1
