a90f90f4-1d63-415a-b420-4f86a46daf28

This model is a fine-tuned version of databricks/dolly-v2-3b on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0096

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: 0.000204
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• 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	0.0000	1	0.2303
0.0378	0.0009	50	0.0198
0.0342	0.0019	100	0.0155
0.0354	0.0028	150	0.0139
0.0213	0.0038	200	0.0132
0.0228	0.0047	250	0.0117
0.0209	0.0057	300	0.0119
0.0302	0.0066	350	0.0133
0.0213	0.0076	400	0.0098
0.0205	0.0085	450	0.0096
0.0211	0.0095	500	0.0096

Framework versions

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