6fe9cea2-c383-49b8-97d2-9d4e04edd97b

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: 2.2785

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: 0.000202
• 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	2.8540
5.7416	0.0005	50	2.5050
5.5852	0.0011	100	2.4751
5.3751	0.0016	150	2.4477
5.626	0.0021	200	2.4068
5.4417	0.0027	250	2.3699
5.5251	0.0032	300	2.3412
5.5042	0.0037	350	2.3035
5.4527	0.0043	400	2.2871
5.2851	0.0048	450	2.2797
5.4905	0.0053	500	2.2785

Framework versions

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