peft-starcoder-lora-a100-v2

This model is a fine-tuned version of bigcode/starcoderbase-3b on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.6879

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 30
• training_steps: 200

Training results

Training Loss	Epoch	Step	Validation Loss
0.1035	0.5	100	1.5570
0.0644	1.0	200	1.6879

Framework versions

• PEFT 0.8.2
• Transformers 4.39.1
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2