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

# summarize_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: 1.7638
- Rouge1: 0.2453
- Rouge2: 0.1053
- Rougel: 0.1992
- Rougelsum: 0.1988
- Gen Len: 19.0

## 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: 3e-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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 100  | 1.8301          | 0.2376 | 0.0971 | 0.1916 | 0.1915    | 19.0    |
| No log        | 2.0   | 200  | 1.7931          | 0.2424 | 0.0991 | 0.1954 | 0.1953    | 19.0    |
| No log        | 3.0   | 300  | 1.7741          | 0.241  | 0.1015 | 0.1954 | 0.1952    | 19.0    |
| No log        | 4.0   | 400  | 1.7658          | 0.244  | 0.105  | 0.1986 | 0.1983    | 19.0    |
| 2.0548        | 5.0   | 500  | 1.7638          | 0.2453 | 0.1053 | 0.1992 | 0.1988    | 19.0    |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3