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

# summarization_model

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8757
- Rouge1: 0.394
- Rouge2: 0.166
- Rougel: 0.3264
- Rougelsum: 0.3263
- Gen Len: 16.3055

## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 389  | 1.9453          | 0.3776 | 0.1556 | 0.3135 | 0.3136    | 15.9023 |
| 2.2585        | 2.0   | 778  | 1.8995          | 0.3864 | 0.1602 | 0.3209 | 0.321     | 16.1286 |
| 2.1003        | 3.0   | 1167 | 1.8807          | 0.3926 | 0.1654 | 0.3256 | 0.3256    | 16.1897 |
| 2.064         | 4.0   | 1556 | 1.8757          | 0.394  | 0.166  | 0.3264 | 0.3263    | 16.3055 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1