enriquesaou/t5-small-mrqa-old-b

t5-small-mrqa

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

• Loss: 0.8647

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: 14
• eval_batch_size: 14
• seed: 42
• gradient_accumulation_steps: 3
• total_train_batch_size: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.9991	357	0.9669
1.0947	1.9981	714	0.9170
0.9558	3.0	1072	0.8990
0.9558	3.9991	1429	0.8855
0.9023	4.9981	1786	0.8680
0.8684	6.0	2144	0.8680
0.8542	6.9991	2501	0.8668
0.8542	7.9925	2856	0.8647

Framework versions

• Transformers 4.42.0.dev0
• Pytorch 2.3.0+cu121
• Datasets 2.19.2
• Tokenizers 0.19.1