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yandex_lite_lora_collocations – AI Model by VeraKrasnobaeva | AlphaNeural AI
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yandex_lite_lora_collocations
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yandex/YandexGPT-5-Lite-8B-instruct
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yandex_lite_lora_collocations
This model is a fine-tuned version of
yandex/YandexGPT-5-Lite-8B-instruct
on the None 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: 4
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1
