---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: qa_references_all
  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. -->

# qa_references_all

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: 4.0348
- Rouge1: 0.1188
- Rouge2: 0.0107
- Rougel: 0.0976
- Rougelsum: 0.098
- Gen Len: 19.0

## 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: 1
- eval_batch_size: 1
- 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 | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 357  | 6.1510          | 0.0604 | 0.0063 | 0.0548 | 0.0546    | 18.8222 |
| 12.6296       | 2.0   | 714  | 4.1645          | 0.1128 | 0.0106 | 0.0986 | 0.0984    | 19.0    |
| 5.7722        | 3.0   | 1071 | 4.0653          | 0.1261 | 0.0125 | 0.1054 | 0.1055    | 19.0    |
| 5.7722        | 4.0   | 1428 | 4.0452          | 0.1219 | 0.0109 | 0.0991 | 0.0993    | 19.0    |
| 5.3698        | 5.0   | 1785 | 4.0348          | 0.1188 | 0.0107 | 0.0976 | 0.098     | 19.0    |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3