README.md

metadata

license: apache-2.0
base_model: google/t5-small-lm-adapt
tags:
  - generated_from_trainer
datasets:
  - Isotonic/planner_dataset
metrics:
  - rouge
model-index:
  - name: plan_t5
    results:
      - task:
          name: Summarization
          type: summarization
        dataset:
          name: Isotonic/planner_dataset
          type: Isotonic/planner_dataset
        metrics:
          - name: Rouge1
            type: rouge
            value: 58.1228

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