QGC1

This model is a fine-tuned version of google/t5-v1_1-large on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.2173

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: 0.0001
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
3.5327	0.4819	200	3.8386
2.8333	0.9639	400	3.5579
0.5724	1.4458	600	2.1992
0.4847	1.9277	800	2.2173

Framework versions

• Transformers 4.50.3
• Pytorch 2.6.0+cu124
• Datasets 3.5.0
• Tokenizers 0.21.1