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codebert-model – AI Model by Athipan01 | AlphaNeural AI
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Athipan01
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codebert-model
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peft
safetensors
generated_from_trainer
code_search_net
microsoft/codebert-base
adapter
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codebert-model
This model is a fine-tuned version of
microsoft/codebert-base
on the code_search_net dataset. It achieves the following results on the evaluation set:
eval_loss: 0.8346
eval_model_preparation_time: 0.0057
eval_accuracy: {'accuracy': 0.21967491508976225}
eval_f1: {'f1': 0.0}
eval_runtime: 9384.6382
eval_samples_per_second: 0.878
eval_steps_per_second: 0.11
step: 0
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Framework versions
PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
