Discussion-Phi-4-text

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

• Loss: 0.1265

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: 4e-05
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 16
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.95) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 50
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
2.6764	0.2235	10	2.4496
2.1053	0.4469	20	1.9257
1.222	0.6704	30	1.0594
0.1878	0.8939	40	0.1615
0.1642	1.1117	50	0.1395
0.1127	1.3352	60	0.1343
0.1483	1.5587	70	0.1332
0.1342	1.7821	80	0.1338
0.1529	2.0	90	0.1323
0.1327	2.2235	100	0.1289
0.095	2.4469	110	0.1286
0.1446	2.6704	120	0.1304
0.1631	2.8939	130	0.1265

Framework versions

• PEFT 0.15.2
• Transformers 4.51.3
• Pytorch 2.4.1+cu124
• Datasets 3.5.1
• Tokenizers 0.21.1