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starling-lora – AI Model by donghocha | AlphaNeural AI
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starling-lora
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peft
safetensors
trl
sft
generated_from_trainer
generator
Nexusflow/Starling-LM-7B-beta
adapter
apache-2.0
us
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starling-lora
This model is a fine-tuned version of
Nexusflow/Starling-LM-7B-beta
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 0.1048
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: 0.0003
train_batch_size: 8
eval_batch_size: 8
seed: 1399
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
training_steps: 500
Training results
Training Loss
Epoch
Step
Validation Loss
6.416
2.7586
20
1.1396
2.3556
5.5172
40
0.1913
0.28
8.2759
60
0.0993
0.1179
11.0345
80
0.1048
Framework versions
PEFT 0.13.2
Transformers 4.46.1
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.20.1