transformers pytorch tensorboard mt5 text2text-generation summarization generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
metrics:
- rouge
tags:
- summarization
- generated_from_trainer
model-index:
- name: mt5-small-finetuned-18jan-2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mt5-small-finetuned-18jan-2

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6070
- Rouge1: 5.8815
- Rouge2: 0.3333
- Rougel: 5.8065
- Rougelsum: 5.7756

## 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: 0.0002
- train_batch_size: 10
- eval_batch_size: 10
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 7.6303        | 1.0   | 60   | 3.0842          | 5.9419 | 0.9768 | 6.0316 | 6.0505    |
| 3.8899        | 2.0   | 120  | 2.7540          | 7.8799 | 0.5667 | 7.9069 | 7.8884    |
| 3.4335        | 3.0   | 180  | 2.7391          | 8.4788 | 0.5667 | 8.4352 | 8.4595    |
| 3.2524        | 4.0   | 240  | 2.6775          | 8.6704 | 0.4167 | 8.6495 | 8.6537    |
| 3.0853        | 5.0   | 300  | 2.6776          | 7.8484 | 0.1667 | 7.7371 | 7.7464    |
| 2.974         | 6.0   | 360  | 2.6641          | 8.4292 | 0.1667 | 8.2708 | 8.35      |
| 2.9018        | 7.0   | 420  | 2.6233          | 7.1548 | 0.3333 | 7.1393 | 7.1179    |
| 2.859         | 8.0   | 480  | 2.6238          | 6.6333 | 0.4167 | 6.597  | 6.5845    |
| 2.8123        | 9.0   | 540  | 2.5961          | 6.4519 | 0.3333 | 6.3113 | 6.3519    |
| 2.7843        | 10.0  | 600  | 2.6070          | 5.8815 | 0.3333 | 5.8065 | 5.7756    |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
