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: no-sum-t5-3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# no-sum-t5-3

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: 1.1815
- Rouge1: 33.2039
- Rouge2: 12.1054
- Rougel: 32.7253
- Rougelsum: 32.7032
- 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: 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 139  | 1.6711          | 22.764  | 3.4862  | 22.3717 | 22.3978   | 19.0    |
| No log        | 2.0   | 278  | 1.3811          | 31.9748 | 10.5421 | 31.4438 | 31.4451   | 19.0    |
| No log        | 3.0   | 417  | 1.2981          | 32.0918 | 11.2326 | 31.4844 | 31.5121   | 19.0    |
| 1.9326        | 4.0   | 556  | 1.2542          | 32.0848 | 11.1865 | 31.6965 | 31.669    | 19.0    |
| 1.9326        | 5.0   | 695  | 1.2250          | 32.6516 | 11.7983 | 32.117  | 32.1061   | 19.0    |
| 1.9326        | 6.0   | 834  | 1.2063          | 33.0203 | 11.973  | 32.5571 | 32.5407   | 19.0    |
| 1.9326        | 7.0   | 973  | 1.1932          | 33.1756 | 11.7729 | 32.5844 | 32.6138   | 19.0    |
| 1.3969        | 8.0   | 1112 | 1.1886          | 33.0571 | 11.792  | 32.5059 | 32.4676   | 19.0    |
| 1.3969        | 9.0   | 1251 | 1.1825          | 33.2126 | 12.1217 | 32.6524 | 32.6517   | 19.0    |
| 1.3969        | 10.0  | 1390 | 1.1815          | 33.2039 | 12.1054 | 32.7253 | 32.7032   | 19.0    |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
