large-1-1
This model is a fine-tuned version of cnn/large-1-1/ on the cnn_dailymail 3.0.0 dataset. It achieves the following results on the evaluation set:
- Loss: 1.8990
- Rouge1: 36.1108
- Rouge2: 15.5104
- Rougel: 26.2977
- Rougelsum: 33.4773
- Gen Len: 68.5788
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: 0.0001
- train_batch_size: 64
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2
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Dataset used to train spacemanidol/flan-t5-large-1-1-cnndm
Evaluation results
- Rouge1 on cnn_dailymail 3.0.0validation set self-reported36.111