This model is a fine-tuned version of google-t5/t5-small on the lilferrit/xsum_t5_distillation dataset.
It achieves the following results on the evaluation set:
Loss: 2.5258
Rouge1: 28.6381
Rouge2: 7.1512
Rougel: 21.3477
Rougelsum: 21.2928
Gen Len: 27.92
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: 0.0002
train_batch_size: 8
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
