xsum_aligned_smallT5
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
- lr_scheduler_type: linear
- training_steps: 200
Training results
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for paulh27/xsum_aligned_smallT5
Base model
google-t5/t5-smallDataset used to train paulh27/xsum_aligned_smallT5
Evaluation results
- Rouge1 on lilferrit/xsum_t5_distillationself-reported28.638