---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mT5-tfidf-10pass-all-questions-QA-22-06-2023-without-ams
  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. -->

# mT5-tfidf-10pass-all-questions-QA-22-06-2023-without-ams

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0232
- Rouge1: 0.1454
- Rouge2: 0.0347
- Rougel: 0.116
- Rougelsum: 0.116
- Gen Len: 18.8315

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.8148        | 1.0   | 5187  | 2.1144          | 0.0873 | 0.0144 | 0.0735 | 0.0735    | 14.5934 |
| 2.5722        | 2.0   | 10374 | 2.0385          | 0.1409 | 0.0317 | 0.1129 | 0.113     | 18.8498 |
| 2.5129        | 3.0   | 15561 | 2.0232          | 0.1454 | 0.0347 | 0.116  | 0.116     | 18.8315 |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3