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starcoder-js2py-program3 – AI Model by jlpan | AlphaNeural AI | AlphaNeural AI
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starcoder-js2py-program3
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bigcode/starcoder
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bigcode-openrail-m
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starcoder-js2py-program3
This model is a fine-tuned version of
bigcode/starcoder
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1071
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: 8e-06
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 15
training_steps: 150
Training results
Training Loss
Epoch
Step
Validation Loss
0.1253
0.17
25
0.1085
0.1236
0.33
50
0.1076
0.1207
0.5
75
0.1072
0.1205
0.67
100
0.1071
0.1166
0.83
125
0.1071
0.1188
1.13
150
0.1071
Framework versions
Transformers 4.32.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3
