deepseek_coder_7b_apps_sft

This model is a fine-tuned version of deepseek-ai/deepseek-coder-7b-base-v1.5 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.7821

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 128
• 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: linear
• num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss
0.7137	5.5818	100	0.7307
0.6296	11.1164	200	0.7471
0.5899	16.6982	300	0.7680
0.5761	22.2327	400	0.7791
0.5599	27.8145	500	0.7821

Framework versions

• Transformers 4.55.4
• Pytorch 2.8.0+cu126
• Datasets 2.19.1
• Tokenizers 0.21.4