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finetuned_sol – AI Model by Pipper | AlphaNeural AI
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Pipper
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finetuned_sol
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transformers
pytorch
onnx
gpt2
text-generation
generated_from_trainer
ckandemir/solidity-generator
quantized
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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finetuned_sol
This model is a fine-tuned version of
ckandemir/solidity-generator
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2695
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: 26
eval_batch_size: 26
seed: 100
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 104
total_eval_batch_size: 104
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
0.3698
1.0
33010
0.3371
0.3292
2.0
66020
0.2977
0.3067
3.0
99030
0.2782
0.2956
4.0
132040
0.2695
Framework versions
Transformers 4.33.0
Pytorch 2.1.0+cu121
Datasets 2.14.7
Tokenizers 0.13.3