transformers tensorboard safetensors 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: test_model6
  results: []
---

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# test_model6

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: 2.6632
- Rouge1: 0.1946
- Rouge2: 0.072
- Rougel: 0.1556
- Rougelsum: 0.1556
- Gen Len: 19.0

## 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: 0.001
- 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: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.433         | 1.0   | 1370 | 2.8867          | 0.1902 | 0.0666 | 0.1512 | 0.1512    | 19.0    |
| 1.5963        | 2.0   | 2740 | 2.8031          | 0.1908 | 0.0716 | 0.1535 | 0.1537    | 19.0    |
| 1.7568        | 3.0   | 4110 | 2.7565          | 0.1955 | 0.07   | 0.1552 | 0.1553    | 19.0    |
| 1.7795        | 4.0   | 5480 | 2.6769          | 0.1923 | 0.0711 | 0.1538 | 0.1538    | 19.0    |
| 1.8689        | 5.0   | 6850 | 2.6503          | 0.1945 | 0.0703 | 0.1554 | 0.1554    | 19.0    |
| 1.8355        | 6.0   | 8220 | 2.6632          | 0.1946 | 0.072  | 0.1556 | 0.1556    | 19.0    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
