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codeparrot-ds – AI Model by Ara113 | AlphaNeural AI
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Ara113
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codeparrot-ds
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transformers
tensorboard
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: 1.8105
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: 48
eval_batch_size: 48
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 192
optimizer: Use OptimizerNames.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: 100
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
4.3636
0.1425
500
3.1636
2.8659
0.2849
1000
2.4713
2.4617
0.4274
1500
2.1893
2.2488
0.5698
2000
2.0097
2.1012
0.7123
2500
1.8929
1.9997
0.8548
3000
1.8259
1.9595
0.9972
3500
1.8105
Framework versions
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
