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starcoder-java2py-snippet2 – AI Model by jlpan | AlphaNeural AI
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starcoder-java2py-snippet2
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bigcode/starcoder
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bigcode-openrail-m
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starcoder-java2py-snippet2
This model is a fine-tuned version of
bigcode/starcoder
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1902
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: 7e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10
training_steps: 150
Training results
Training Loss
Epoch
Step
Validation Loss
0.1883
0.17
25
0.1970
0.192
0.33
50
0.1936
0.1913
0.5
75
0.1918
0.1885
0.67
100
0.1910
0.1961
0.83
125
0.1905
0.1897
1.0
150
0.1902
Framework versions
Transformers 4.32.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3
