transformers pytorch tensorboard mt5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: EN_mt5-base_spider
  results: []
---

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# EN_mt5-base_spider

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: 1.8036
- Rouge2 Precision: 0.0
- Rouge2 Recall: 0.0
- Rouge2 Fmeasure: 0.0

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
| No log        | 1.0   | 438  | 0.2132          | 0.009            | 0.0041        | 0.0051          |
| 6.2612        | 2.0   | 876  | 0.5214          | 0.0036           | 0.0013        | 0.0018          |
| 0.161         | 3.0   | 1314 | 0.4509          | 0.009            | 0.0038        | 0.0051          |
| 0.0989        | 4.0   | 1752 | 0.4065          | 0.0              | 0.0           | 0.0             |
| 0.0793        | 5.0   | 2190 | 0.3735          | 0.0              | 0.0           | 0.0             |
| 0.0657        | 6.0   | 2628 | 0.3679          | 0.0              | 0.0           | 0.0             |
| 0.0592        | 7.0   | 3066 | 0.3044          | 0.0016           | 0.0008        | 0.001           |
| 0.0557        | 8.0   | 3504 | 0.3032          | 0.0              | 0.0           | 0.0             |
| 0.0557        | 9.0   | 3942 | 0.3212          | 0.0014           | 0.002         | 0.0015          |
| 0.7984        | 10.0  | 4380 | 0.7433          | 0.0              | 0.0           | 0.0             |
| 0.9026        | 11.0  | 4818 | 0.0904          | 0.0              | 0.0           | 0.0             |
| 0.0419        | 12.0  | 5256 | 2.8192          | 0.0              | 0.0           | 0.0             |
| 0.0184        | 13.0  | 5694 | 0.7313          | 0.0              | 0.0           | 0.0             |
| 0.0121        | 14.0  | 6132 | 0.9688          | 0.0              | 0.0           | 0.0             |
| 0.0116        | 15.0  | 6570 | 1.8036          | 0.0              | 0.0           | 0.0             |


### Framework versions

- Transformers 4.26.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.7.dev0
- Tokenizers 0.13.3
