---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-YT-transcript-sum
  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. -->

# flan-t5-base-YT-transcript-sum

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4111
- Rouge1: 25.4013
- Rouge2: 12.4728
- Rougel: 21.5206
- Rougelsum: 23.6322
- 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 216  | 1.5817          | 23.8566 | 11.0314 | 20.1664 | 22.2953   | 18.9954 |
| No log        | 2.0   | 432  | 1.4907          | 24.2446 | 11.6603 | 20.6712 | 22.4196   | 18.9861 |
| 1.7643        | 3.0   | 648  | 1.4510          | 25.4355 | 12.9236 | 21.584  | 23.7272   | 19.0    |
| 1.7643        | 4.0   | 864  | 1.4312          | 24.8929 | 12.5927 | 21.3295 | 23.3504   | 19.0    |
| 1.4359        | 5.0   | 1080 | 1.4145          | 25.242  | 12.9269 | 21.6351 | 23.6509   | 19.0    |
| 1.4359        | 6.0   | 1296 | 1.4111          | 25.4013 | 12.4728 | 21.5206 | 23.6322   | 19.0    |
| 1.2819        | 7.0   | 1512 | 1.4135          | 25.6542 | 13.103  | 22.2059 | 23.9474   | 19.0    |
| 1.2819        | 8.0   | 1728 | 1.4145          | 26.0783 | 13.7584 | 22.343  | 24.3255   | 19.0    |
| 1.2819        | 9.0   | 1944 | 1.4163          | 25.4385 | 13.1278 | 21.7173 | 23.8295   | 18.9861 |
| 1.1688        | 10.0  | 2160 | 1.4208          | 25.7625 | 13.5586 | 22.2246 | 24.2042   | 19.0    |
| 1.1688        | 11.0  | 2376 | 1.4165          | 25.5482 | 13.1163 | 21.9475 | 23.8181   | 18.9907 |
| 1.0951        | 12.0  | 2592 | 1.4215          | 25.7614 | 13.5565 | 22.1965 | 24.0657   | 19.0    |
| 1.0951        | 13.0  | 2808 | 1.4285          | 26.3345 | 14.2027 | 22.7422 | 24.6261   | 18.9907 |
| 1.0549        | 14.0  | 3024 | 1.4277          | 25.8835 | 13.8044 | 22.3845 | 24.269    | 19.0    |
| 1.0549        | 15.0  | 3240 | 1.4321          | 25.8292 | 13.7231 | 22.3506 | 24.3188   | 19.0    |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3