transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:google-t5/t5-small base_model:finetune:google-t5/t5-small license:apache-2.0 autotrain_compatible text-generation-inference endpoints_compatible region:us
---
base_model: t5-small
license: apache-2.0
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: Finetuned_summarization_model
  results: []
---

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# Finetuned_summarization_model

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on samsum dialogue dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0579
- Rouge1: 0.3409
- Rouge2: 0.1246
- Rougel: 0.2902
- Rougelsum: 0.29
- Gen Len: 16.2744

## 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 41   | 1.1410          | 0.281  | 0.0751 | 0.23   | 0.2302    | 18.2988 |
| No log        | 2.0   | 82   | 1.0804          | 0.3305 | 0.1087 | 0.2777 | 0.2779    | 16.9146 |
| No log        | 3.0   | 123  | 1.0624          | 0.3434 | 0.1251 | 0.2906 | 0.2909    | 16.4085 |
| No log        | 4.0   | 164  | 1.0579          | 0.3409 | 0.1246 | 0.2902 | 0.29      | 16.2744 |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.15.0
