umt5-bcoqa

This model is a fine-tuned version of google/umt5-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.2095

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: 8
• eval_batch_size: 8
• 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
3.4388	0.2	2500	2.5847
2.9502	0.4	5000	2.3387
2.8027	0.6	7500	2.2562
2.6951	0.8	10000	2.2095

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.1+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1