transformers tensorboard safetensors t5 text2text-generation generated_from_trainer dataset:samsum 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:
- samsum
metrics:
- rouge
model-index:
- name: nvl
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: samsum
      type: samsum
      config: samsum
      split: test
      args: samsum
    metrics:
    - name: Rouge1
      type: rouge
      value: 42.7355
---

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# nvl

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7103
- Rouge1: 42.7355
- Rouge2: 19.1453
- Rougel: 35.3875
- Rougelsum: 39.3317
- Gen Len: 16.8694

## 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: 5e-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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.0196        | 1.0   | 1842 | 1.7910          | 40.8317 | 17.2049 | 33.7121 | 37.4759   | 16.8388 |
| 1.8885        | 2.0   | 3684 | 1.7466          | 41.8713 | 18.2939 | 34.7126 | 38.3646   | 16.6862 |
| 1.8233        | 3.0   | 5526 | 1.7264          | 42.2002 | 18.8391 | 35.044  | 38.8975   | 17.1184 |
| 1.8024        | 4.0   | 7368 | 1.7131          | 42.5292 | 19.118  | 35.4246 | 39.2763   | 16.8339 |
| 1.7821        | 5.0   | 9210 | 1.7103          | 42.7355 | 19.1453 | 35.3875 | 39.3317   | 16.8694 |


### Framework versions

- Transformers 4.36.1
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
