---
base_model: google/flan-t5-large
license: apache-2.0
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: flan-t5-large-summary
  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-large-summary

This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3277
- Rouge1: 69.554
- Rouge2: 59.2044
- Rougel: 67.6581
- Rougelsum: 67.7174
- Gen Len: 18.7309

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 190  | 0.3832          | 67.2926 | 53.7031 | 64.7974 | 64.8071   | 18.8179 |
| No log        | 2.0   | 380  | 0.3090          | 67.8051 | 55.3515 | 65.6548 | 65.6747   | 18.8232 |
| 0.2632        | 3.0   | 570  | 0.2876          | 68.3985 | 56.4896 | 66.3492 | 66.3648   | 18.7889 |
| 0.2632        | 4.0   | 760  | 0.2789          | 68.5676 | 56.4035 | 66.101  | 66.1396   | 18.8100 |
| 0.2632        | 5.0   | 950  | 0.2805          | 68.2045 | 56.6864 | 66.2411 | 66.3045   | 18.7784 |
| 0.2625        | 6.0   | 1140 | 0.2827          | 68.4741 | 57.1103 | 66.101  | 66.1991   | 18.7810 |
| 0.2625        | 7.0   | 1330 | 0.2767          | 68.9503 | 57.7255 | 66.8972 | 66.9236   | 18.7916 |
| 0.2048        | 8.0   | 1520 | 0.2776          | 69.1733 | 57.5766 | 66.7948 | 66.9347   | 18.7968 |
| 0.2048        | 9.0   | 1710 | 0.2777          | 69.7098 | 58.867  | 67.8471 | 67.8675   | 18.7388 |
| 0.2048        | 10.0  | 1900 | 0.2855          | 69.2753 | 57.8341 | 67.1037 | 67.2396   | 18.7757 |
| 0.1653        | 11.0  | 2090 | 0.2819          | 69.7836 | 58.5212 | 67.6087 | 67.6426   | 18.7916 |
| 0.1653        | 12.0  | 2280 | 0.2918          | 70.0288 | 59.2524 | 68.0356 | 68.0754   | 18.7573 |
| 0.1653        | 13.0  | 2470 | 0.2940          | 69.7288 | 59.2246 | 67.8426 | 67.8537   | 18.7704 |
| 0.1421        | 14.0  | 2660 | 0.2995          | 69.6257 | 58.8437 | 67.6509 | 67.6521   | 18.7810 |
| 0.1421        | 15.0  | 2850 | 0.3042          | 69.5083 | 58.6743 | 67.4254 | 67.5589   | 18.7625 |
| 0.1201        | 16.0  | 3040 | 0.3114          | 69.3398 | 58.9756 | 67.4566 | 67.5762   | 18.7810 |
| 0.1201        | 17.0  | 3230 | 0.3158          | 69.3569 | 58.8509 | 67.3013 | 67.4321   | 18.7520 |
| 0.1201        | 18.0  | 3420 | 0.3215          | 69.7484 | 59.1145 | 67.6617 | 67.6992   | 18.7573 |
| 0.1076        | 19.0  | 3610 | 0.3254          | 69.5556 | 59.2392 | 67.7187 | 67.7966   | 18.7520 |
| 0.1076        | 20.0  | 3800 | 0.3277          | 69.554  | 59.2044 | 67.6581 | 67.7174   | 18.7309 |


### Framework versions

- Transformers 4.43.2
- Pytorch 2.2.0a0+81ea7a4
- Datasets 2.20.0
- Tokenizers 0.19.1