---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: summarizer_samsum_model
  results: []
---

<!-- 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. -->

# summarizer_samsum_model

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4249
- Rouge1: 0.3873
- Rouge2: 0.1614
- Rougel: 0.3216
- Rougelsum: 0.3216
- Gen Len: 16.1371

## 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
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.9208        | 1.0   | 737  | 0.4468          | 0.3549 | 0.1408 | 0.2962 | 0.2962    | 15.1235 |
| 0.5031        | 2.0   | 1474 | 0.4318          | 0.3769 | 0.1527 | 0.3129 | 0.3129    | 15.9878 |
| 0.4758        | 3.0   | 2211 | 0.4272          | 0.3849 | 0.1591 | 0.3197 | 0.3197    | 16.0886 |
| 0.4722        | 4.0   | 2948 | 0.4249          | 0.3873 | 0.1614 | 0.3216 | 0.3216    | 16.1371 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2