---
base_model: allenai/unifiedqa-t5-small
tags:
- generated_from_trainer
model-index:
- name: t5-pst-ans
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-pst-ans

This model is a fine-tuned version of [allenai/unifiedqa-t5-small](https://huggingface.co/allenai/unifiedqa-t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.2424

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 21   | 5.5295          |
| No log        | 2.0   | 42   | 5.3172          |
| No log        | 3.0   | 63   | 5.2424          |


### Framework versions

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