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santacoder-finetuned-mbpp – AI Model by Mariusbrm | AlphaNeural AI
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Mariusbrm
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santacoder-finetuned-mbpp
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transformers
pytorch
tensorboard
gpt2
text-generation
generated_from_trainer
custom_code
bigcode-openrail-m
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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santacoder-finetuned-mbpp
This model is a fine-tuned version of
bigcode/santacoder
on the mbpp dataset. It achieves the following results on the evaluation set:
Loss: 0.3571
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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10
training_steps: 100
Training results
Training Loss
Epoch
Step
Validation Loss
0.317
0.27
25
0.3747
0.1146
0.53
50
0.3775
0.576
0.8
75
0.3562
0.344
1.07
100
0.3571
Framework versions
Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
