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codeparrot-ds – AI Model by mimicheng | AlphaNeural AI

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mimicheng/
codeparrot-ds

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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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: 1.7397
eval_runtime: 603.8598
eval_samples_per_second: 154.281
eval_steps_per_second: 4.822
epoch: 0.08
step: 5000

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: 1000
num_epochs: 1
mixed_precision_training: Native AMP

Framework versions

Transformers 4.17.0
Pytorch 1.10.0+cu111
Datasets 2.0.0
Tokenizers 0.11.6