transformers pytorch tensorboard t5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: EN_t5-base_15_spider
  results: []
---

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# EN_t5-base_15_spider

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2692
- Rouge2 Precision: 0.6128
- Rouge2 Recall: 0.3948
- Rouge2 Fmeasure: 0.4517

## 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: 30
- 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   | 234  | 0.2675          | 0.4828           | 0.3113        | 0.3529          |
| No log        | 2.0   | 468  | 0.2426          | 0.5265           | 0.3444        | 0.3904          |
| 0.4735        | 3.0   | 702  | 0.2384          | 0.5486           | 0.3481        | 0.3988          |
| 0.4735        | 4.0   | 936  | 0.2388          | 0.5846           | 0.3787        | 0.4324          |
| 0.1397        | 5.0   | 1170 | 0.2407          | 0.5789           | 0.3672        | 0.4212          |
| 0.1397        | 6.0   | 1404 | 0.2429          | 0.5976           | 0.3835        | 0.4391          |
| 0.1028        | 7.0   | 1638 | 0.2489          | 0.587            | 0.3779        | 0.4317          |
| 0.1028        | 8.0   | 1872 | 0.2534          | 0.602            | 0.3897        | 0.4448          |
| 0.0837        | 9.0   | 2106 | 0.2576          | 0.5971           | 0.3838        | 0.4394          |
| 0.0837        | 10.0  | 2340 | 0.2555          | 0.6024           | 0.3848        | 0.4412          |
| 0.0712        | 11.0  | 2574 | 0.2638          | 0.6106           | 0.3894        | 0.4469          |
| 0.0712        | 12.0  | 2808 | 0.2680          | 0.6061           | 0.3874        | 0.4444          |
| 0.0649        | 13.0  | 3042 | 0.2667          | 0.6114           | 0.3924        | 0.4498          |
| 0.0649        | 14.0  | 3276 | 0.2683          | 0.6117           | 0.3934        | 0.4504          |
| 0.0614        | 15.0  | 3510 | 0.2692          | 0.6128           | 0.3948        | 0.4517          |


### Framework versions

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