large-6-1-t
This model is a fine-tuned version of 6-1 on the cnn_dailymail 3.0.0 dataset. It achieves the following results on the evaluation set:
- Loss: 1.6639
- Rouge1: 41.4182
- Rouge2: 19.4871
- Rougel: 30.3528
- Rougelsum: 38.7818
- Gen Len: 70.3855
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: 30
- eval_batch_size: 12
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 60
- 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 4.27.1
- Pytorch 1.12.0+cu116
- Datasets 2.4.0
- Tokenizers 0.13.2
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Dataset used to train spacemanidol/flan-t5-large-6-1-cnndm
Evaluation results
- Rouge1 on cnn_dailymail 3.0.0validation set self-reported41.418