results

This model is a fine-tuned version of bigcode/starcoder2-7b on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.8042

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: 0.0002
• train_batch_size: 8
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 12
• total_train_batch_size: 96
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 250
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.8735	0.96	500	0.8042

Framework versions

• PEFT 0.13.2
• Transformers 4.45.1
• Pytorch 2.5.0+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3