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testing-without-deepspeed – AI Model by sravanthib | AlphaNeural AI
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testing-without-deepspeed
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
meta-llama/Llama-3.2-3B
llama3.2
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testing-without-deepspeed
This model is a fine-tuned version of
meta-llama/Llama-3.2-3B
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: 5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 10
total_train_batch_size: 20
optimizer: Use adamw_torch 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: 0.03
training_steps: 10
Training results
Framework versions
PEFT 0.16.0
Transformers 4.53.1
Pytorch 2.7.1+cu126
Datasets 2.15.0
Tokenizers 0.21.2
