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saiga_llama3_8bit_qdora_v01 – AI Model by jester20 | AlphaNeural AI
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saiga_llama3_8bit_qdora_v01
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peft
tensorboard
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sft
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IlyaGusev/saiga_llama3_8b
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Model card
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qdora
This model is a fine-tuned version of
IlyaGusev/saiga_llama3_8b
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.6756
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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
2.1102
0.4425
50
1.8754
1.7931
0.8850
100
1.6756
Framework versions
PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1