---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-v1-base-s-q-c-multi-task-qgen
  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-v1-base-s-q-c-multi-task-qgen

This model is a fine-tuned version of [anshoomehra/t5-v1-base-s-q-multi-task-qgen](https://huggingface.co/anshoomehra/t5-v1-base-s-q-multi-task-qgen) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5165
- Rouge1: 0.5819
- Rouge2: 0.4231
- Rougel: 0.5487
- Rougelsum: 0.5491

## 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: 0.0003
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 1.9372        | 1.0   | 942  | 1.4811          | 0.5555 | 0.3861 | 0.5243 | 0.5237    |
| 1.2665        | 2.0   | 1884 | 1.4050          | 0.5688 | 0.4056 | 0.5385 | 0.539     |
| 0.955         | 3.0   | 2826 | 1.4131          | 0.5733 | 0.4101 | 0.5426 | 0.5436    |
| 0.7471        | 4.0   | 3768 | 1.4436          | 0.5769 | 0.4179 | 0.5464 | 0.5466    |
| 0.6382        | 5.0   | 4710 | 1.5165          | 0.5819 | 0.4231 | 0.5487 | 0.5491    |


### Framework versions

- Transformers 4.23.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.13.0