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codeparrot-ds – AI Model by sodam | AlphaNeural AI
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codeparrot-ds
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
openai-community/gpt2
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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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: 6.0850
eval_runtime: 41.7729
eval_samples_per_second: 381.157
eval_steps_per_second: 11.922
epoch: 1.06
step: 50
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10
num_epochs: 5
mixed_precision_training: Native AMP
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
