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Saiga-lora-2048-2epochs – AI Model by SouthMemphis | AlphaNeural AI
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SouthMemphis
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Saiga-lora-2048-2epochs
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peft
safetensors
llama-factory
lora
generated_from_trainer
summarization
russian
text2text-generation
conversational
IlyaGusev/gazeta
IlyaGusev/saiga_mistral_7b_merged
adapter
other
us
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This model is a fine-tuned version of
IlyaGusev/saiga_mistral_7b_merged
on the gazeta dataset.
Model description
This model was trained on IlyaGusev/gazeta dataset for summarization on Russian language. Context window size is 2048.
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
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 2
total_train_batch_size: 8
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 2.0
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.10.0
Transformers 4.39.1
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
