---
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
model-index:
- name: lr_5e-05_batch_4_epoch_5_model
  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. -->

# lr_5e-05_batch_4_epoch_5_model

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: 3.2724
- Rouge-1: 24.1093
- Rouge-2: 8.8384
- Rouge-l: 21.5273
- Gen Len: 17.7932

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge-1 | Rouge-2 | Rouge-l | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:-------:|
| 4.1453        | 1.0   | 2714  | 3.5455          | 21.4499 | 7.2857  | 19.3311 | 17.0664 |
| 3.8393        | 2.0   | 5428  | 3.3963          | 22.7766 | 8.0331  | 20.3856 | 17.5091 |
| 3.7745        | 3.0   | 8142  | 3.3187          | 23.6238 | 8.5224  | 21.0729 | 17.4938 |
| 3.6659        | 4.0   | 10856 | 3.2879          | 24.164  | 8.8808  | 21.5366 | 17.5777 |
| 3.5614        | 5.0   | 13570 | 3.2724          | 24.1093 | 8.8384  | 21.5273 | 17.7932 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.1.0
- Datasets 2.21.0
- Tokenizers 0.19.1