---
license: apache-2.0
base_model: google-t5/t5-large
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_fine_tuning_summary_t5_large_model_hf
  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_fine_tuning_summary_t5_large_model_hf

This model is a fine-tuned version of [google-t5/t5-large](https://huggingface.co/google-t5/t5-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 0.1329
- Rouge2: 0.0498
- Rougel: 0.1105
- Rougelsum: 0.1106
- 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.0           | 1.0   | 989   | nan             | 0.1329 | 0.0498 | 0.1105 | 0.1106    | 19.0    |
| 0.0           | 2.0   | 1978  | nan             | 0.1329 | 0.0498 | 0.1105 | 0.1106    | 19.0    |
| 0.0           | 3.0   | 2967  | nan             | 0.1329 | 0.0498 | 0.1105 | 0.1106    | 19.0    |
| 0.0           | 4.0   | 3956  | nan             | 0.1329 | 0.0498 | 0.1105 | 0.1106    | 19.0    |
| 0.0           | 5.0   | 4945  | nan             | 0.1329 | 0.0498 | 0.1105 | 0.1106    | 19.0    |
| 0.0           | 6.0   | 5934  | nan             | 0.1329 | 0.0498 | 0.1105 | 0.1106    | 19.0    |
| 0.0           | 7.0   | 6923  | nan             | 0.1329 | 0.0498 | 0.1105 | 0.1106    | 19.0    |
| 0.0           | 8.0   | 7912  | nan             | 0.1329 | 0.0498 | 0.1105 | 0.1106    | 19.0    |
| 0.0           | 9.0   | 8901  | nan             | 0.1329 | 0.0498 | 0.1105 | 0.1106    | 19.0    |
| 0.0           | 10.0  | 9890  | nan             | 0.1329 | 0.0498 | 0.1105 | 0.1106    | 19.0    |
| 0.0           | 11.0  | 10879 | nan             | 0.1329 | 0.0498 | 0.1105 | 0.1106    | 19.0    |
| 0.0           | 12.0  | 11868 | nan             | 0.1329 | 0.0498 | 0.1105 | 0.1106    | 19.0    |
| 0.0           | 13.0  | 12857 | nan             | 0.1329 | 0.0498 | 0.1105 | 0.1106    | 19.0    |
| 0.0           | 14.0  | 13846 | nan             | 0.1329 | 0.0498 | 0.1105 | 0.1106    | 19.0    |
| 0.0           | 15.0  | 14835 | nan             | 0.1329 | 0.0498 | 0.1105 | 0.1106    | 19.0    |
| 0.0           | 16.0  | 15824 | nan             | 0.1329 | 0.0498 | 0.1105 | 0.1106    | 19.0    |
| 0.0           | 17.0  | 16813 | nan             | 0.1329 | 0.0498 | 0.1105 | 0.1106    | 19.0    |
| 0.0           | 18.0  | 17802 | nan             | 0.1329 | 0.0498 | 0.1105 | 0.1106    | 19.0    |
| 0.0           | 19.0  | 18791 | nan             | 0.1329 | 0.0498 | 0.1105 | 0.1106    | 19.0    |
| 0.0           | 20.0  | 19780 | nan             | 0.1329 | 0.0498 | 0.1105 | 0.1106    | 19.0    |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.15.2