README.md

metadata

license: apache-2.0
base_model: google-t5/t5-small
tags:
  - generated_from_trainer
datasets:
  - lilferrit/xsum_t5_distillation
metrics:
  - rouge
model-index:
  - name: xsum_aligned_smallT5
    results:
      - task:
          name: Summarization
          type: summarization
        dataset:
          name: lilferrit/xsum_t5_distillation
          type: lilferrit/xsum_t5_distillation
        metrics:
          - name: Rouge1
            type: rouge
            value: 28.6381

xsum_aligned_smallT5

This model is a fine-tuned version of google-t5/t5-small on the lilferrit/xsum_t5_distillation dataset. It achieves the following results on the evaluation set:

• Loss: 2.5258
• Rouge1: 28.6381
• Rouge2: 7.1512
• Rougel: 21.3477
• Rougelsum: 21.2928
• Gen Len: 27.92

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: 0.0002
• train_batch_size: 8
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 200

Training results

Framework versions

• Transformers 4.39.3
• Pytorch 2.2.2+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2