phi_1.5_mfr_instruct

This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4011

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: 1e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• training_steps: 2000

Training results

Training Loss	Epoch	Step	Validation Loss
3.31	50.0	250	1.2487
0.5629	100.0	500	0.4522
0.2176	150.0	750	0.4012
0.1899	200.0	1000	0.3989
0.1832	250.0	1250	0.3996
0.1801	300.0	1500	0.4006
0.1788	350.0	1750	0.4011
0.1784	400.0	2000	0.4011

Framework versions

• PEFT 0.14.0
• Transformers 4.48.3
• Pytorch 2.5.1+cu124
• Datasets 3.3.2
• Tokenizers 0.21.0