python-code-model/README.md

library_name, license, base_model, tags, model-index

library_name	license	base_model	tags	model-index
transformers	mit	gpt2	generated_from_trainer	name results python-code-model

python-code-model

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.8969

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 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: 1000
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
5.3936	0.4827	500	3.6571
3.1064	0.9654	1000	2.7322
2.4375	1.4479	1500	2.3305
2.1386	1.9306	2000	2.0923
1.8331	2.4132	2500	1.9542
1.7149	2.8959	3000	1.8969

Framework versions

• Transformers 4.57.3
• Pytorch 2.9.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.2