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results_v2 – AI Model by danield12 | AlphaNeural AI
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danield12
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results_v2
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peft
safetensors
generated_from_trainer
Salesforce/codet5-small
adapter
apache-2.0
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results_v2
This model is a fine-tuned version of
Salesforce/codet5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6032
Accuracy: 0.7335
Precision: 0.1175
Recall: 0.7568
F1 Score: 0.2034
F2 Score: 0.3624
Gmean: 0.7445
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 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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1 Score
F2 Score
Gmean
0.4812
1.0
197
0.6032
0.7335
0.1175
0.7568
0.2034
0.3624
0.7445
Framework versions
PEFT 0.14.0
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0
