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

# my_fantastic_patent_model

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0021
- Rouge1: 0.2236
- Rouge2: 0.1231
- Rougel: 0.1932
- Rougelsum: 0.1933
- Gen Len: 18.9373

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.4015        | 1.0   | 625  | 2.0728          | 0.2182 | 0.116  | 0.1868 | 0.1868    | 18.9365 |
| 2.194         | 2.0   | 1250 | 2.0275          | 0.2215 | 0.1203 | 0.1911 | 0.1912    | 18.9371 |
| 2.1739        | 3.0   | 1875 | 2.0078          | 0.2235 | 0.1228 | 0.1931 | 0.1932    | 18.9371 |
| 2.1381        | 4.0   | 2500 | 2.0021          | 0.2236 | 0.1231 | 0.1932 | 0.1933    | 18.9373 |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3