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tinyllama_fine_tuning_full_sample_2_epoc – AI Model by Kaushikdebb | AlphaNeural AI
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Kaushikdebb
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tinyllama_fine_tuning_full_sample_2_epoc
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peft
tensorboard
safetensors
adapter
lora
transformers
text-generation
conversational
TinyLlama/TinyLlama-1.1B-Chat-v1.0
apache-2.0
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tinyllama_fine_tuning_full_sample_2_epoc
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: 0.0001
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Use OptimizerNames.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: 0.05
num_epochs: 2
Training results
Framework versions
PEFT 0.17.1
Transformers 4.55.4
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.21.4
