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distilgpt2_fine_tuned_gcode – AI Model by ablam | AlphaNeural AI | AlphaNeural AI
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distilgpt2_fine_tuned_gcode
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transformers
pytorch
tensorboard
gpt2
text-generation
generated_from_trainer
autotrain_compatible
text-generation-inference
endpoints_compatible
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distilgpt2_fine_tuned_gcode
This model is a fine-tuned version of
congcongwang/distilgpt2_fine_tuned_coder
on the None dataset. It achieves the following results on the evaluation set:
Loss: 4.1670
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: 0.1
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
4.1754
1.0
52144
4.1670
Framework versions
Transformers 4.15.0
Pytorch 1.10.1
Datasets 2.1.0
Tokenizers 0.10.3
