peft-dialogue-summary-training-1725369150

This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.3544

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: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1
• training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss
1.6663	0.0500	25	1.4021
1.1938	0.1001	50	1.3834
1.4485	0.1501	75	1.3597
1.2157	0.2001	100	1.3544

Framework versions

• PEFT 0.12.0
• Transformers 4.44.2
• Pytorch 2.2.1+cu118
• Datasets 2.21.0
• Tokenizers 0.19.1