---
license: apache-2.0
base_model: google/mt5-small
tags:
- summarization
- generated_from_trainer
model-index:
- name: mt5-small-finetuned-mr-sum
  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. -->

# mt5-small-finetuned-mr-sum

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: 1.9029

## 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: 5.6e-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: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 4.1339        | 1.0   | 1803  | 2.2075          |
| 3.1992        | 2.0   | 3606  | 2.0707          |
| 3.0189        | 3.0   | 5409  | 2.0077          |
| 2.9222        | 4.0   | 7212  | 1.9655          |
| 2.8524        | 5.0   | 9015  | 1.9323          |
| 2.81          | 6.0   | 10818 | 1.9261          |
| 2.7811        | 7.0   | 12621 | 1.9078          |
| 2.7658        | 8.0   | 14424 | 1.9029          |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.2