t5-large-gen-retrieval-ruby-28-5-vast

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

• Loss: 0.4197

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: 3e-05
• train_batch_size: 64
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 128
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss
0.3439	0.6423	1000	0.4290
0.3196	1.2845	2000	0.4222
0.3043	1.9268	3000	0.4308
0.2896	2.5690	4000	0.4219
0.2785	3.2113	5000	0.4181
0.2689	3.8536	6000	0.4201
0.2614	4.4958	7000	0.4183
0.2569	5.1381	8000	0.4197

Framework versions

• Transformers 4.52.3
• Pytorch 2.5.1+cu124
• Datasets 3.6.0
• Tokenizers 0.21.1