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-small_10_spider
  results: []
---

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# EN_t5-small_10_spider

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5052
- Rouge2 Precision: 0.4842
- Rouge2 Recall: 0.3056
- Rouge2 Fmeasure: 0.3504

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
| No log        | 1.0   | 438  | 0.5472          | 0.3074           | 0.216         | 0.2252          |
| 1.0392        | 2.0   | 876  | 0.4983          | 0.3811           | 0.2468        | 0.2738          |
| 0.3686        | 3.0   | 1314 | 0.5082          | 0.4151           | 0.2587        | 0.2955          |
| 0.3023        | 4.0   | 1752 | 0.4882          | 0.4484           | 0.2716        | 0.3148          |
| 0.2571        | 5.0   | 2190 | 0.4744          | 0.458            | 0.2785        | 0.3233          |
| 0.2369        | 6.0   | 2628 | 0.4777          | 0.4734           | 0.2959        | 0.3402          |
| 0.2208        | 7.0   | 3066 | 0.5062          | 0.4811           | 0.2987        | 0.3445          |
| 0.2095        | 8.0   | 3504 | 0.4881          | 0.4923           | 0.3113        | 0.3572          |
| 0.2095        | 9.0   | 3942 | 0.5006          | 0.4843           | 0.3047        | 0.3498          |
| 0.2013        | 10.0  | 4380 | 0.5052          | 0.4842           | 0.3056        | 0.3504          |


### Framework versions

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