transformers 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: t5-samsum
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-samsum

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: 1.7097
- Rouge1: 43.1274
- Rouge2: 19.364
- Rougel: 35.6435
- Rougelsum: 39.6113
- Gen Len: 16.8840

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.01          | 1.0   | 1842 | 1.7905          | 40.9077 | 17.5516 | 33.9527 | 37.531    | 16.6960 |
| 1.8931        | 2.0   | 3684 | 1.7445          | 42.0004 | 18.4562 | 34.676  | 38.4273   | 16.8816 |
| 1.8391        | 3.0   | 5526 | 1.7248          | 42.6688 | 18.9855 | 35.2402 | 39.0387   | 16.7326 |
| 1.8104        | 4.0   | 7368 | 1.7121          | 42.9504 | 19.3162 | 35.6305 | 39.543    | 16.9829 |
| 1.7834        | 5.0   | 9210 | 1.7097          | 43.1274 | 19.364  | 35.6435 | 39.6113   | 16.8840 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
