kangoroo-no-subgraph-phi-3-mini-LoRA

This model is a fine-tuned version of microsoft/Phi-3.5-mini-instruct on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2338

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: 0.0001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.4504	0.2892	100	1.0894
0.8508	0.5785	200	0.6406
0.5328	0.8677	300	0.4493
0.4011	1.1569	400	0.3575
0.3328	1.4461	500	0.3085
0.291	1.7354	600	0.2769
0.2711	2.0246	700	0.2585
0.2494	2.3138	800	0.2453
0.2361	2.6030	900	0.2378
0.2348	2.8923	1000	0.2338

Framework versions

• PEFT 0.12.0
• Transformers 4.44.2
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1