sparql-qald9-t5-small-2021-10-19_07-12_RAW

This model is a fine-tuned version of t5-small on the None dataset.

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: 0.0003
• 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
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Gen Len	P	R	F1	Bleu-score	Bleu-precisions	Bleu-bp
No log	1.0	51	2.8581	19.0	0.3301	0.0433	0.1830	7.5917	[69.82603479304139, 45.68226763348714, 32.33357717629846, 24.56861133935908]	0.1903

Framework versions

• Transformers 4.11.3
• Pytorch 1.9.0+cu111
• Datasets 1.13.3
• Tokenizers 0.10.3