---
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-fine-tuned-chunking-sliding
  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. -->

# t5-fine-tuned-chunking-sliding

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1720
- Rouge1: 0.249
- Rouge2: 0.1367
- Rougel: 0.2247
- Rougelsum: 0.2249

## 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: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 12
- 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

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:------:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
| 1.1629        | 0.9998 | 3975  | 1.2101          | 0.2411 | 0.1215 | 0.2137 | 0.2136    |
| 0.9414        | 1.9998 | 7950  | 1.1728          | 0.252  | 0.1336 | 0.2253 | 0.2254    |
| 0.8402        | 2.9998 | 11925 | 1.1715          | 0.248  | 0.1329 | 0.223  | 0.223     |
| 0.7827        | 3.9998 | 15900 | 1.1719          | 0.2488 | 0.1365 | 0.2241 | 0.2242    |
| 0.7622        | 4.9998 | 19875 | 1.1720          | 0.249  | 0.1367 | 0.2247 | 0.2249    |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0