transformers pytorch t5 text2text-generation generated_from_trainer base_model:t5-small license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: T5-small-issues
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# T5-small-issues

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: 3.5636
- Rouge1: 0.2138
- Rouge2: 0.0795
- Rougel: 0.193
- Rougelsum: 0.1933
- Gen Len: 14.5672

## 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 119  | 3.9060          | 0.1709 | 0.057  | 0.1512 | 0.1512    | 17.8298 |
| No log        | 2.0   | 238  | 3.6568          | 0.2022 | 0.0738 | 0.1807 | 0.181     | 15.834  |
| No log        | 3.0   | 357  | 3.5830          | 0.2112 | 0.08   | 0.1916 | 0.1918    | 14.916  |
| No log        | 4.0   | 476  | 3.5636          | 0.2138 | 0.0795 | 0.193  | 0.1933    | 14.5672 |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
