45a366a7-be78-4c91-b379-0170b767a219

This model is a fine-tuned version of unsloth/Phi-3-medium-4k-instruct on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.7818

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: 0.000211
• train_batch_size: 4
• eval_batch_size: 4
• seed: 110
• 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	0.0003	1	1.6798
1.6743	0.0130	50	0.8811
1.3397	0.0260	100	0.9118
1.6574	0.0391	150	0.8685
1.6461	0.0521	200	0.9320
1.6869	0.0651	250	0.8434
1.5782	0.0781	300	0.8563
1.5509	0.0911	350	0.8096
1.2614	0.1042	400	0.7926
1.4628	0.1172	450	0.7817
1.1265	0.1302	500	0.7818

Framework versions

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