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lora-test – AI Model by asadmasad | AlphaNeural AI
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asadmasad
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lora-test
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peft
safetensors
generated_from_trainer
deepseek-ai/deepseek-coder-7b-instruct-v1.5
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lora-test
This model is a fine-tuned version of
deepseek-ai/deepseek-coder-7b-instruct-v1.5
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1056
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: 5e-06
train_batch_size: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 16
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
0.2632
1.0
1
0.1060
0.4033
2.0
2
0.1056
Framework versions
PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
