Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
codeparrot-ds – AI Model by Hyounguk | AlphaNeural AI
You can deploy this model and start earning money today!
Hyounguk
/
codeparrot-ds
like
0
transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
openai-community/gpt2
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
codeparrot-ds
This model is a fine-tuned version of
gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 5.4311
eval_runtime: 46.6056
eval_samples_per_second: 326.677
eval_steps_per_second: 10.213
epoch: 1.9231
step: 100
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: 0.0005
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10
num_epochs: 5
mixed_precision_training: Native AMP
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
