---
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-semantic
  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-semantic

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.5169
- Rouge1: 0.1333
- Rouge2: 0.0
- Rougel: 0.1333
- Rougelsum: 0.1333

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| No log        | 1.0   | 1    | 13.3180         | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 2.0   | 2    | 10.2648         | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 3.0   | 3    | 14.4358         | 0.2222 | 0.125  | 0.2222 | 0.2222    |
| No log        | 4.0   | 4    | 12.2551         | 0.2222 | 0.125  | 0.2222 | 0.2222    |
| No log        | 5.0   | 5    | 8.3587          | 0.2222 | 0.125  | 0.2222 | 0.2222    |
| No log        | 6.0   | 6    | 9.0556          | 0.2222 | 0.125  | 0.2222 | 0.2222    |
| No log        | 7.0   | 7    | 9.8159          | 0.25   | 0.1429 | 0.25   | 0.25      |
| No log        | 8.0   | 8    | 8.7513          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
| No log        | 9.0   | 9    | 9.2218          | 0.2    | 0.0    | 0.2    | 0.2       |
| No log        | 10.0  | 10   | 8.9089          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
| No log        | 11.0  | 11   | 10.3286         | 0.1667 | 0.0    | 0.1667 | 0.1667    |
| No log        | 12.0  | 12   | 9.6879          | 0.1667 | 0.0    | 0.1667 | 0.1667    |
| No log        | 13.0  | 13   | 8.9536          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
| No log        | 14.0  | 14   | 8.3151          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
| No log        | 15.0  | 15   | 7.2542          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
| No log        | 16.0  | 16   | 7.4371          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
| No log        | 17.0  | 17   | 7.8925          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
| No log        | 18.0  | 18   | 7.5644          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
| No log        | 19.0  | 19   | 8.1827          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
| No log        | 20.0  | 20   | 6.8002          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
| No log        | 21.0  | 21   | 7.1925          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
| No log        | 22.0  | 22   | 7.9999          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
| No log        | 23.0  | 23   | 7.4629          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
| No log        | 24.0  | 24   | 8.1180          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
| No log        | 25.0  | 25   | 7.0687          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
| No log        | 26.0  | 26   | 8.3404          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
| No log        | 27.0  | 27   | 6.2122          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
| No log        | 28.0  | 28   | 5.5703          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
| No log        | 29.0  | 29   | 5.5613          | 0.1333 | 0.0    | 0.1333 | 0.1333    |
| No log        | 30.0  | 30   | 5.5169          | 0.1333 | 0.0    | 0.1333 | 0.1333    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0