---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: random_top100
  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_top100

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: 4.6990
- Rouge1: 0.1626
- Rouge2: 0.0339
- Rougel: 0.1405
- Rougelsum: 0.1404
- 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 58   | 17.5159         | 0.0    | 0.0    | 0.0    | 0.0       | 4.0     |
| No log        | 2.0   | 116  | 14.6617         | 0.0    | 0.0    | 0.0    | 0.0       | 4.0     |
| No log        | 3.0   | 174  | 9.7296          | 0.0    | 0.0    | 0.0    | 0.0       | 4.0     |
| No log        | 4.0   | 232  | 9.4582          | 0.0605 | 0.0114 | 0.0585 | 0.059     | 9.0     |
| No log        | 5.0   | 290  | 7.3911          | 0.1321 | 0.0136 | 0.1223 | 0.1221    | 19.0    |
| No log        | 6.0   | 348  | 6.0032          | 0.1542 | 0.0349 | 0.1313 | 0.1312    | 19.0    |
| No log        | 7.0   | 406  | 5.0453          | 0.1542 | 0.0349 | 0.1313 | 0.1312    | 19.0    |
| No log        | 8.0   | 464  | 4.8066          | 0.1626 | 0.0339 | 0.1405 | 0.1404    | 19.0    |
| 11.9321       | 9.0   | 522  | 4.7140          | 0.1626 | 0.0339 | 0.1405 | 0.1404    | 19.0    |
| 11.9321       | 10.0  | 580  | 4.6990          | 0.1626 | 0.0339 | 0.1405 | 0.1404    | 19.0    |


### Framework versions

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