---
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: 41.7031
---

<!-- 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: 1.7687
- Rouge1: 41.7031
- Rouge2: 18.7783
- Rougel: 35.1492
- Rougelsum: 38.6317
- Gen Len: 16.5685

## 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: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 460  | 1.8087          | 40.9414 | 18.2439 | 34.4046 | 38.0469   | 16.4645 |
| 1.9998        | 2.0   | 921  | 1.7943          | 41.09   | 18.2457 | 34.4794 | 38.098    | 16.5538 |
| 1.9621        | 3.0   | 1381 | 1.7809          | 41.6111 | 18.5089 | 34.9893 | 38.6344   | 16.5795 |
| 1.9445        | 4.0   | 1842 | 1.7731          | 41.7145 | 18.7104 | 35.1886 | 38.7006   | 16.6198 |
| 1.9227        | 5.0   | 2302 | 1.7702          | 41.5079 | 18.5223 | 34.9946 | 38.4816   | 16.5575 |
| 1.9142        | 5.99  | 2760 | 1.7687          | 41.7031 | 18.7783 | 35.1492 | 38.6317   | 16.5685 |


### Framework versions

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