Phi-3.5-MultiCap-mt-5

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: 0.6935

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: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.9814	0.5109	50	0.9569
0.7431	1.0217	100	0.7821
0.7487	1.5326	150	0.7389
0.7355	2.0434	200	0.7197
0.7317	2.5543	250	0.7090
0.7308	3.0651	300	0.7025
0.6926	3.5760	350	0.6978
0.684	4.0868	400	0.6948
0.6965	4.5977	450	0.6935

Framework versions

• PEFT 0.12.0
• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1