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CSNPython-ds – AI Model by Dip0323 | AlphaNeural AI
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Dip0323
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CSNPython-ds
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transformers
pytorch
gpt2
text-generation
generated_from_trainer
code_search_net
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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CSNPython-ds
This model is a fine-tuned version of
gpt2
on the code_search_net dataset. It achieves the following results on the evaluation set:
Loss: 6.6874
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: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
8.4592
1.0
115
7.4196
7.1195
2.0
230
6.8341
6.7062
3.0
345
6.6874
Framework versions
Transformers 4.30.2
Pytorch 1.13.1+cu117
Datasets 2.13.2
Tokenizers 0.13.3