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codeparrot-ds – AI Model by yuhuihhh | AlphaNeural AI
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codeparrot-ds
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transformers
safetensors
gpt2
text-generation
generated_from_trainer
openai-community/gpt2
finetune
mit
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:
Loss: 2.1751
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: 8
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 256
optimizer: Use adamw_torch_fused 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: 200
training_steps: 2000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
3.2008
0.0077
500
3.0747
2.5613
0.0153
1000
2.4849
2.3033
0.0230
1500
2.2412
2.2433
0.0307
2000
2.1751
Framework versions
Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 2.19.0
Tokenizers 0.22.1
