---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-base-pt-asqa-cb
  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-base-pt-asqa-cb

This model is a fine-tuned version of [din0s/t5-base-msmarco-nlgen-cb](https://huggingface.co/din0s/t5-base-msmarco-nlgen-cb) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7735
- Rougelsum: 26.3056

## 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: 1e-05
- train_batch_size: 16
- 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| No log        | 1.0   | 273  | 2.9031          | 24.6325   |
| 3.2031        | 2.0   | 546  | 2.8656          | 24.9190   |
| 3.2031        | 3.0   | 819  | 2.8442          | 25.1197   |
| 3.0839        | 4.0   | 1092 | 2.8303          | 25.2855   |
| 3.0839        | 5.0   | 1365 | 2.8189          | 25.4891   |
| 3.0276        | 6.0   | 1638 | 2.8099          | 25.6116   |
| 3.0276        | 7.0   | 1911 | 2.8036          | 25.7411   |
| 3.0043        | 8.0   | 2184 | 2.7976          | 25.8238   |
| 3.0043        | 9.0   | 2457 | 2.7930          | 25.9201   |
| 2.9791        | 10.0  | 2730 | 2.7890          | 26.0322   |
| 2.9545        | 11.0  | 3003 | 2.7851          | 26.0934   |
| 2.9545        | 12.0  | 3276 | 2.7826          | 26.1574   |
| 2.9344        | 13.0  | 3549 | 2.7802          | 26.2041   |
| 2.9344        | 14.0  | 3822 | 2.7785          | 26.2330   |
| 2.9252        | 15.0  | 4095 | 2.7769          | 26.2394   |
| 2.9252        | 16.0  | 4368 | 2.7756          | 26.2676   |
| 2.9109        | 17.0  | 4641 | 2.7747          | 26.2864   |
| 2.9109        | 18.0  | 4914 | 2.7740          | 26.3146   |
| 2.9103        | 19.0  | 5187 | 2.7736          | 26.2993   |
| 2.9103        | 20.0  | 5460 | 2.7735          | 26.3056   |


### Framework versions

- Transformers 4.23.0.dev0
- Pytorch 1.12.1+cu102
- Datasets 2.4.0
- Tokenizers 0.12.1