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: my_awesome_samsum_model
  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. -->

# my_awesome_samsum_model

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: 1.7477
- Rouge1: 0.4214
- Rouge2: 0.1862
- Rougel: 0.3497
- Rougelsum: 0.3497
- Gen Len: 16.8547

## 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.2619        | 1.0   | 921  | 1.8690          | 0.3959 | 0.1629 | 0.327  | 0.3271    | 16.7619 |
| 2.0291        | 2.0   | 1842 | 1.8240          | 0.4041 | 0.169  | 0.3335 | 0.3336    | 16.6911 |
| 1.9772        | 3.0   | 2763 | 1.7990          | 0.4074 | 0.1735 | 0.3381 | 0.3382    | 16.5617 |
| 1.9401        | 4.0   | 3684 | 1.7806          | 0.4077 | 0.174  | 0.3363 | 0.3366    | 16.8205 |
| 1.9178        | 5.0   | 4605 | 1.7703          | 0.4116 | 0.1761 | 0.34   | 0.3402    | 16.6789 |
| 1.8973        | 6.0   | 5526 | 1.7605          | 0.4156 | 0.179  | 0.3443 | 0.3443    | 16.9499 |
| 1.8796        | 7.0   | 6447 | 1.7538          | 0.4159 | 0.1815 | 0.3453 | 0.3455    | 16.6789 |
| 1.8674        | 8.0   | 7368 | 1.7521          | 0.4195 | 0.185  | 0.3483 | 0.3485    | 16.8425 |
| 1.866         | 9.0   | 8289 | 1.7477          | 0.4195 | 0.1842 | 0.3475 | 0.3474    | 16.8779 |
| 1.8602        | 10.0  | 9210 | 1.7477          | 0.4214 | 0.1862 | 0.3497 | 0.3497    | 16.8547 |


### Framework versions

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