---
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: podcast_summarizer
  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. -->

# podcast_summarizer

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1084
- Rouge1: 0.1735
- Rouge2: 0.0673
- Rougel: 0.1411
- Rougelsum: 0.1413
- Gen Len: 18.9721

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- 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   | 179  | 2.2171          | 0.1569 | 0.0555 | 0.1271 | 0.1276    | 18.9721 |
| No log        | 2.0   | 358  | 2.1460          | 0.1653 | 0.0612 | 0.1346 | 0.1348    | 18.9721 |
| 2.3662        | 3.0   | 537  | 2.1163          | 0.1723 | 0.066  | 0.1398 | 0.1398    | 18.9721 |
| 2.3662        | 4.0   | 716  | 2.1084          | 0.1735 | 0.0673 | 0.1411 | 0.1413    | 18.9721 |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Tokenizers 0.20.3