phi-3.5-mini-triple-creator

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: 0.0000

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: 0.0002
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.2
• training_steps: 800

Training results

Training Loss	Epoch	Step	Validation Loss
0.0533	0.2222	100	0.0132
0.0	0.4444	200	0.0000
0.0	0.6667	300	0.0000
0.0	0.8889	400	0.0000
0.0	1.1111	500	0.0000
0.0	1.3333	600	0.0000
0.0	1.5556	700	0.0000
0.0	1.7778	800	0.0000

Framework versions

• PEFT 0.12.0
• Transformers 4.44.0
• Pytorch 2.3.1+cu121
• Datasets 2.21.0
• Tokenizers 0.19.0