364690b5-a889-4a11-979b-524d7cb6eda4

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: 0.2698

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: 20
• 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	0.0002	1	2.0673
1.3088	0.0096	50	0.8562
1.0703	0.0191	100	0.6191
1.0222	0.0287	150	0.5046
0.8455	0.0382	200	0.4782
0.6556	0.0478	250	0.3866
0.6772	0.0573	300	0.3467
0.5743	0.0669	350	0.3164
0.7781	0.0764	400	0.2889
0.7265	0.0860	450	0.2716
0.5188	0.0955	500	0.2698

Framework versions

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