README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - searde/dataset-financial-documents-2
metrics:
  - rouge
model-index:
  - name: tst-summarization
    results:
      - task:
          name: Summarization
          type: summarization
        dataset:
          name: searde/dataset-financial-documents-2 3.0.0
          type: searde/dataset-financial-documents-2
          config: 3.0.0
          split: validation
          args: 3.0.0
        metrics:
          - name: Rouge1
            type: rouge
            value: 90.0297

tst-summarization

This model is a fine-tuned version of t5-small on the searde/dataset-financial-documents-2 3.0.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.0730
• Rouge1: 90.0297
• Rouge2: 68.9083
• Rougel: 89.8451
• Rougelsum: 89.9838
• Gen Len: 38.9598

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 4.31.0.dev0
• Pytorch 2.0.1
• Datasets 2.13.1
• Tokenizers 0.13.3