b06b602d-cb36-4a5c-a117-fc3d6f1aeb04

This model is a fine-tuned version of bigcode/starcoder2-3b on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.2023

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: 0.000218
• train_batch_size: 4
• eval_batch_size: 4
• seed: 180
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Use OptimizerNames.ADAMW_BNB 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: 50
• training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0001	1	3.9568
4.1677	0.0033	50	1.8522
3.07	0.0067	100	1.6625
2.7983	0.0100	150	1.6193
2.6458	0.0133	200	1.5221
2.7297	0.0167	250	1.3811
2.5191	0.0200	300	1.3754
2.3189	0.0233	350	1.3098
2.551	0.0267	400	1.2394
1.7449	0.0300	450	1.2025
1.87	0.0333	500	1.2023

Framework versions

• PEFT 0.13.2
• Transformers 4.46.0
• Pytorch 2.5.0+cu124
• Datasets 3.0.1
• Tokenizers 0.20.1