transformers tensorboard safetensors t5 text2text-generation generated_from_trainer dataset:boolq base_model:t5-small license:apache-2.0 model-index autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- boolq
metrics:
- rouge
model-index:
- name: pal_team_tfq_generation
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: boolq
      type: boolq
      config: default
      split: validation
      args: default
    metrics:
    - name: Rouge1
      type: rouge
      value: 0.3793
---

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# pal_team_tfq_generation

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the boolq dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8807
- Rouge1: 0.3793
- Rouge2: 0.1737
- Rougel: 0.3534
- Rougelsum: 0.3535
- Gen Len: 12.7453

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.4543        | 1.0   | 1179 | 2.0285          | 0.3608 | 0.1524 | 0.3326 | 0.3326    | 12.3572 |
| 2.2496        | 2.0   | 2358 | 1.9305          | 0.3706 | 0.163  | 0.343  | 0.3432    | 12.7278 |
| 2.1221        | 3.0   | 3537 | 1.8922          | 0.3779 | 0.1725 | 0.3516 | 0.3519    | 12.6859 |
| 2.1428        | 4.0   | 4716 | 1.8807          | 0.3793 | 0.1737 | 0.3534 | 0.3535    | 12.7453 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
