dwb-flan-t5-small-lora-finetune

This model is a fine-tuned version of google/flan-t5-small on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 0.0226

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.0685	1.0	1536	0.0226

Framework versions

• PEFT 0.11.2.dev0
• Transformers 4.41.1
• Pytorch 2.3.0+cpu
• Datasets 2.19.1
• Tokenizers 0.19.1