---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mT5-tfidf-10pass-all-questions-QA-22-06-2023-without-ams-with-nonfactual-questionsonly-v2
  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-with-nonfactual-questionsonly-v2

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: 2.0728
- Rouge1: 0.1431
- Rouge2: 0.0347
- Rougel: 0.1154
- Rougelsum: 0.1154
- Gen Len: 18.8581

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.8564        | 1.0   | 7356  | 2.1867          | 0.1347 | 0.029  | 0.1096 | 0.1097    | 18.4387 |
| 2.6757        | 2.0   | 14712 | 2.0937          | 0.1417 | 0.0338 | 0.1144 | 0.1144    | 18.8645 |
| 2.6049        | 3.0   | 22068 | 2.0728          | 0.1431 | 0.0347 | 0.1154 | 0.1154    | 18.8581 |


### Framework versions

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