---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: t5-small-t5-dialogue-summarizer
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: samsum
      type: samsum
      config: samsum
      split: validation
      args: samsum
    metrics:
    - name: Rouge1
      type: rouge
      value: 41.8545
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# t5-small-t5-dialogue-summarizer

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7739
- Rouge1: 41.8545
- Rouge2: 19.0397
- Rougel: 35.2065
- Rougelsum: 38.8278
- Gen Len: 16.6222

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 460  | 1.7926          | 41.5391 | 18.4858 | 34.6806 | 38.3183   | 16.6663 |
| 1.9666        | 2.0   | 921  | 1.7810          | 41.5694 | 18.5639 | 34.9915 | 38.4652   | 16.5599 |
| 1.9457        | 3.0   | 1381 | 1.7785          | 42.0475 | 19.0086 | 35.2119 | 38.8236   | 16.6858 |
| 1.9241        | 4.0   | 1840 | 1.7739          | 41.8545 | 19.0397 | 35.2065 | 38.8278   | 16.6222 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0