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: TH_mt5-base_spider
  results: []
---

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# TH_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: 0.5610
- Rouge2 Precision: 0.0324
- Rouge2 Recall: 0.0315
- Rouge2 Fmeasure: 0.0309

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
| No log        | 1.0   | 438  | 0.9649          | 0.0019           | 0.0019        | 0.0019          |
| 7.2087        | 2.0   | 876  | 0.6476          | 0.0203           | 0.0171        | 0.0179          |
| 0.94          | 3.0   | 1314 | 0.5898          | 0.0305           | 0.027         | 0.028           |
| 0.7387        | 4.0   | 1752 | 0.5669          | 0.0311           | 0.0283        | 0.029           |
| 0.6698        | 5.0   | 2190 | 0.5610          | 0.0324           | 0.0315        | 0.0309          |


### Framework versions

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