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tinyllama-v1 – AI Model by rajtest | AlphaNeural AI
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rajtest
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tinyllama-v1
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peft
tensorboard
safetensors
trl
sft
unsloth
generated_from_trainer
unsloth/tinyllama-bnb-4bit
adapter
apache-2.0
us
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tinyllama-v1
This model is a fine-tuned version of
unsloth/tinyllama-bnb-4bit
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: 2e-05
train_batch_size: 16
eval_batch_size: 8
seed: 3407
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 200
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.11.1
Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
