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code_llama_library2 – AI Model by Surabhi-K | AlphaNeural AI
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Surabhi-K
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code_llama_library2
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peft
safetensors
generated_from_trainer
codellama/CodeLlama-7b-hf
adapter
llama2
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This model is a fine-tuned version of
codellama/CodeLlama-7b-hf
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1536
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-05
train_batch_size: 3
eval_batch_size: 3
seed: 42
gradient_accumulation_steps: 5
total_train_batch_size: 15
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 20
num_epochs: 7
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.0255
1.0
63
0.5661
0.3616
2.0
126
0.3047
0.1979
3.0
189
0.2129
0.1565
4.0
252
0.1817
0.1409
5.0
315
0.1644
0.1319
6.0
378
0.1561
0.1277
7.0
441
0.1536
Framework versions
PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.2
Datasets 2.15.0
Tokenizers 0.15.2
