a1808e0e-8a91-4366-9b6d-792e6eb92f4e

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: 0.0013

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: 0.0001004
• 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=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-5
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 10
• training_steps: 200

Training results

Training Loss	Epoch	Step	Validation Loss
0.2666	0.0035	1	0.9308
0.008	0.1733	50	0.0034
0.0923	0.3466	100	0.0026
0.0015	0.5199	150	0.0015
0.0395	0.6932	200	0.0013

Framework versions

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