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_8_spider
  results: []
---

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# EN_t5-base_8_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: 0.2576
- Rouge2 Precision: 0.5995
- Rouge2 Recall: 0.3907
- Rouge2 Fmeasure: 0.4452

## 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: 10
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.5688        | 1.0   | 700  | 0.2352          | 0.5179           | 0.334         | 0.38            |
| 0.1863        | 2.0   | 1400 | 0.2287          | 0.5608           | 0.3634        | 0.4139          |
| 0.1145        | 3.0   | 2100 | 0.2350          | 0.5824           | 0.3758        | 0.4289          |
| 0.1013        | 4.0   | 2800 | 0.2426          | 0.5818           | 0.3713        | 0.4253          |
| 0.0818        | 5.0   | 3500 | 0.2450          | 0.5888           | 0.377         | 0.4313          |
| 0.0729        | 6.0   | 4200 | 0.2507          | 0.5968           | 0.3841        | 0.4393          |
| 0.0693        | 7.0   | 4900 | 0.2545          | 0.5899           | 0.3848        | 0.4384          |
| 0.0635        | 8.0   | 5600 | 0.2576          | 0.5995           | 0.3907        | 0.4452          |


### Framework versions

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