---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mT5-tfidf-10pass-all-questions-QA-23-06-2023-summary
  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-23-06-2023-summary

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: 1.9854
- Rouge1: 0.1313
- Rouge2: 0.0198
- Rougel: 0.1109
- Rougelsum: 0.1108
- Gen Len: 18.9487

## 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: 6

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.7253        | 1.0   | 5187  | 2.1284          | 0.1278 | 0.0228 | 0.1044 | 0.1044    | 18.4121 |
| 2.5259        | 2.0   | 10374 | 2.0547          | 0.136  | 0.0265 | 0.1126 | 0.1126    | 18.7747 |
| 2.4501        | 3.0   | 15561 | 2.0201          | 0.1298 | 0.0203 | 0.1089 | 0.1086    | 18.8425 |
| 2.4254        | 4.0   | 20748 | 1.9996          | 0.1299 | 0.0198 | 0.1103 | 0.1102    | 18.9249 |
| 2.2699        | 5.0   | 25935 | 1.9892          | 0.132  | 0.0209 | 0.1118 | 0.1118    | 18.8883 |
| 2.3605        | 6.0   | 31122 | 1.9854          | 0.1313 | 0.0198 | 0.1109 | 0.1108    | 18.9487 |


### Framework versions

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