small-2-2
This model is a fine-tuned version of x/small-2-2/ on the xsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.9112
- Rouge1: 26.7124
- Rouge2: 7.3066
- Rougel: 21.3783
- Rougelsum: 21.3771
- Gen Len: 26.3514
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- 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 0.12.1
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Dataset used to train spacemanidol/flan-t5-small-2-2-xsum
Evaluation results
- Rouge1 on xsumvalidation set self-reported26.712