---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: random-all-q
  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. -->

# random-all-q

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: 2.3793
- Rouge1: 0.1605
- Rouge2: 0.0487
- Rougel: 0.1314
- Rougelsum: 0.1314
- Gen Len: 17.3704

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 3.0528        | 1.0   | 11248 | 2.5314          | 0.1402 | 0.0407 | 0.1159 | 0.1159    | 15.8872 |
| 2.951         | 2.0   | 22496 | 2.4406          | 0.1554 | 0.0462 | 0.1276 | 0.1276    | 17.0291 |
| 2.847         | 3.0   | 33744 | 2.4066          | 0.1592 | 0.0485 | 0.1307 | 0.1307    | 17.2227 |
| 2.7959        | 4.0   | 44992 | 2.3870          | 0.1597 | 0.0489 | 0.1309 | 0.131     | 17.3245 |
| 2.8236        | 5.0   | 56240 | 2.3793          | 0.1605 | 0.0487 | 0.1314 | 0.1314    | 17.3704 |


### Framework versions

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