t5_finetune_assests
This model is a fine-tuned version of t5-small on an cnn-dailymail dataset. It achieves the following results on the evaluation set:
- Loss: 1.8677
- Rouge1: 35.9309
- Rouge2: 15.2979
- Rougel: 25.937
- Rougelsum: 33.4088
- Gen Len: 64.675
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.22.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
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