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tiny-llama – AI Model by Roshgupta | AlphaNeural AI
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tiny-llama
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tensorboard
safetensors
trl
sft
generated_from_trainer
TinyLlama/TinyLlama-1.1B-Chat-v1.0
finetune
apache-2.0
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tiny llama
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
training_steps: 150
mixed_precision_training: Native AMP
Framework versions
Transformers 4.35.2
Pytorch 2.3.0+cu121
Datasets 2.16.1
Tokenizers 0.15.2
