plan_t5
This model is a fine-tuned version of google/t5-small-lm-adapt on the Isotonic/planner_dataset dataset. It achieves the following results on the evaluation set:
- Loss: 1.4366
- Rouge1: 58.1228
- Rouge2: 24.3461
- Rougel: 58.1313
- Rougelsum: 58.1335
- Gen Len: 7.9747
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: 8
- eval_batch_size: 8
- seed: 37
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 5.0
Training results
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for Isotonic/plan_t5
Base model
google/t5-small-lm-adaptDataset used to train Isotonic/plan_t5
Evaluation results
- Rouge1 on Isotonic/planner_datasetself-reported58.123