t5-base-squad-qag-b

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

• Loss: 16.4900

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: 1e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Use OptimizerNames.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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
15.4767	0.5714	1	19.7375
22.2253	1.5714	2	19.0585
21.1788	2.5714	3	18.5133
21.3016	3.5714	4	18.0134
20.3052	4.5714	5	17.5808
19.7086	5.5714	6	17.2109
19.4675	6.5714	7	16.9223
19.3453	7.5714	8	16.7059
18.5491	8.5714	9	16.5610
18.5816	9.5714	10	16.4900

Framework versions

• Transformers 4.48.3
• Pytorch 2.5.1+cu124
• Datasets 3.3.0
• Tokenizers 0.21.0