---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: T5_base_NASA_ADS_title_v5
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# T5_base_NASA_ADS_title_v5

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7910
- Rouge1: 0.4285
- Rouge2: 0.2147
- Rougel: 0.3712
- Rougelsum: 0.3711
- Gen Len: 16.3966

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.1209        | 1.0   | 2535  | 1.9129          | 0.4133 | 0.2034 | 0.3581 | 0.3581    | 16.0037 |
| 1.9984        | 2.0   | 5070  | 1.8568          | 0.4138 | 0.2051 | 0.3608 | 0.3608    | 15.9065 |
| 1.9004        | 3.0   | 7605  | 1.8307          | 0.4222 | 0.2109 | 0.3675 | 0.3674    | 15.9252 |
| 1.8491        | 4.0   | 10140 | 1.8110          | 0.4199 | 0.209  | 0.3638 | 0.3638    | 16.1813 |
| 1.7823        | 5.0   | 12675 | 1.7972          | 0.4231 | 0.2107 | 0.3665 | 0.3664    | 16.2793 |
| 1.7302        | 6.0   | 15210 | 1.7924          | 0.427  | 0.2145 | 0.3704 | 0.3705    | 16.3819 |
| 1.6996        | 7.0   | 17745 | 1.7918          | 0.4284 | 0.2157 | 0.3712 | 0.3713    | 16.0767 |
| 1.6705        | 8.0   | 20280 | 1.7851          | 0.4252 | 0.2134 | 0.3682 | 0.3682    | 16.3485 |
| 1.6338        | 9.0   | 22815 | 1.7853          | 0.4291 | 0.2146 | 0.3721 | 0.372     | 16.398  |
| 1.6193        | 10.0  | 25350 | 1.7850          | 0.4297 | 0.2158 | 0.3726 | 0.3725    | 16.3821 |
| 1.5808        | 11.0  | 27885 | 1.7837          | 0.4274 | 0.2144 | 0.3708 | 0.3706    | 16.303  |
| 1.574         | 12.0  | 30420 | 1.7895          | 0.428  | 0.2151 | 0.3708 | 0.3709    | 16.3568 |
| 1.5544        | 13.0  | 32955 | 1.7898          | 0.4282 | 0.2152 | 0.3711 | 0.3711    | 16.412  |
| 1.5377        | 14.0  | 35490 | 1.7902          | 0.4287 | 0.2147 | 0.3709 | 0.3709    | 16.3917 |
| 1.5304        | 15.0  | 38025 | 1.7910          | 0.4285 | 0.2147 | 0.3712 | 0.3711    | 16.3966 |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.19.1