transformers pytorch t5 text2text-generation generated_from_trainer base_model:allenai/t5-small-squad2-question-generation autotrain_compatible endpoints_compatible text-generation-inference region:us
---
base_model: allenai/t5-small-squad2-question-generation
tags:
- generated_from_trainer
model-index:
- name: t5-pst
  results: []
---

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# t5-pst

This model is a fine-tuned version of [allenai/t5-small-squad2-question-generation](https://huggingface.co/allenai/t5-small-squad2-question-generation) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0019

## 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: 2e-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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 21   | 13.2716         |
| No log        | 2.0   | 42   | 9.8582          |
| No log        | 3.0   | 63   | 7.0297          |
| No log        | 4.0   | 84   | 4.7671          |
| No log        | 5.0   | 105  | 3.0563          |
| No log        | 6.0   | 126  | 1.9804          |
| No log        | 7.0   | 147  | 1.4131          |
| No log        | 8.0   | 168  | 1.1453          |
| No log        | 9.0   | 189  | 1.0326          |
| No log        | 10.0  | 210  | 1.0019          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1
- Datasets 2.14.6
- Tokenizers 0.14.1
