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Grogros-dm-llama3.2-1BI-OMI-Al4-OWT-TV-Al4-lora – AI Model by Grogros | AlphaNeural AI

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Grogros/
Grogros-dm-llama3.2-1BI-OMI-Al4-OWT-TV-Al4-lora

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Grogros-dm-llama3.2-1BI-OMI-Al4-OWT-TV-Al4-lora

This model is a fine-tuned version of Grogros/dm-llama3.2-1BI-OMI-Al4-OWT-TV 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: 2e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 2500

Training results

Framework versions

PEFT 0.16.0
Transformers 4.54.0
Pytorch 2.7.1+cu128
Datasets 3.6.0
Tokenizers 0.21.2