phi3-mini-4k-adapter_3

This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1650

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: 6
• eval_batch_size: 6
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 24
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.05
• training_steps: 200

Training results

Training Loss	Epoch	Step	Validation Loss
9.3301	0.9091	10	7.3651
0.24	1.8182	20	0.2340
0.1173	2.7273	30	0.1572
0.0836	3.6364	40	0.1480
0.0681	4.5455	50	0.1554
0.0607	5.4545	60	0.1496
0.0555	6.3636	70	0.1650

Framework versions

• PEFT 0.11.1
• Transformers 4.43.1
• Pytorch 2.4.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1