modular_test

This model is a fine-tuned version of google-t5/t5-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.1031

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: 5e-05
• train_batch_size: 2
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
3.6103	1.0	287	2.5109
4.1602	2.0	574	2.1031

Framework versions

• PEFT 0.12.0
• Transformers 4.42.4
• Pytorch 2.4.0
• Datasets 2.20.0
• Tokenizers 0.19.1