starcoder-php2py-snippet2

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

• Loss: 0.1831

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: 7e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 5
• total_train_batch_size: 80
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 10
• training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss
0.1912	0.25	25	0.1918
0.1893	0.5	50	0.1861
0.182	0.75	75	0.1836
0.1822	1.0	100	0.1831

Framework versions

• PEFT 0.5.0.dev0
• PEFT 0.5.0.dev0
• PEFT 0.5.0.dev0
• PEFT 0.5.0.dev0
• Transformers 4.32.0.dev0
• Pytorch 2.0.1+cu117
• Datasets 2.12.0
• Tokenizers 0.13.3