---
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_3_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_3_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: 3.3918
- Rouge-1: 22.9677
- Rouge-2: 8.1878
- Rouge-l: 20.6093
- Gen Len: 17.5178

## 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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge-1 | Rouge-2 | Rouge-l | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:-------:|
| 4.1701        | 1.0   | 2714 | 3.5546          | 21.3915 | 7.3166  | 19.3345 | 16.9907 |
| 3.8985        | 2.0   | 5428 | 3.4341          | 22.5776 | 7.9622  | 20.24   | 17.4148 |
| 3.8967        | 3.0   | 8142 | 3.3918          | 22.9677 | 8.1878  | 20.6093 | 17.5178 |


### Framework versions

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