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saiga_llama3_8b_Qdora_4bit_sum – AI Model by slavamarcin | AlphaNeural AI
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saiga_llama3_8b_Qdora_4bit_sum
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peft
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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: 1.3202
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: 1
eval_batch_size: 1
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
1.4394
0.18
300
1.3498
1.2616
0.35
600
1.3303
1.3217
0.53
900
1.3242
1.283
0.71
1200
1.3210
1.1599
0.88
1500
1.3202
Framework versions
PEFT 0.11.2.dev0
Transformers 4.38.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.15.2
