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llama-3.2-1b-xsum-finetuned – AI Model by farzanashaju | AlphaNeural AI
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farzanashaju
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llama-3.2-1b-xsum-finetuned
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
meta-llama/Llama-3.2-1B-Instruct
llama3.2
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llama-3.2-1b-xsum-finetuned
This model is a fine-tuned version of
meta-llama/Llama-3.2-1B-Instruct
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: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 32
total_eval_batch_size: 16
optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.17.1
Transformers 4.50.3
Pytorch 2.3.1+cu118
Datasets 3.6.0
Tokenizers 0.21.4
