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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mT5-tfidf-10pass-all-questions-QA-22-06-2023-without-ams-questionsonly

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: 2.0969
- Rouge1: 0.1351
- Rouge2: 0.0301
- Rougel: 0.1095
- Rougelsum: 0.1095
- Gen Len: 18.4617

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 3.1465        | 1.0   | 5206  | 2.3173          | 0.0028 | 0.0002 | 0.0026 | 0.0025    | 0.5748  |
| 2.6187        | 2.0   | 10412 | 2.1202          | 0.1347 | 0.0291 | 0.1085 | 0.1084    | 18.3066 |
| 2.5918        | 3.0   | 15618 | 2.0969          | 0.1351 | 0.0301 | 0.1095 | 0.1095    | 18.4617 |


### Framework versions

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