transformers pytorch safetensors t5 text2text-generation generated_from_trainer dataset:searde/dataset-financial-documents-3 license:apache-2.0 model-index autotrain_compatible text-generation-inference endpoints_compatible region:us
---
datasets:
- searde/dataset-financial-documents-3
license: apache-2.0
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: tst-summarization
  results:
  - task:
      type: summarization
      name: Summarization
    dataset:
      name: searde/dataset-financial-documents-3 3.0.0
      type: searde/dataset-financial-documents-3
      config: 3.0.0
      split: validation
      args: 3.0.0
    metrics:
    - type: rouge
      value: 14.9574
      name: Rouge1
---

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# tst-summarization

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the searde/dataset-financial-documents-3 3.0.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0505
- Rouge1: 14.9574
- Rouge2: 0.0
- Rougel: 8.4517
- Rougelsum: 12.4858
- Gen Len: 63.0

## 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
