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: summarization-TFM-ClaudiaSoria_v3
  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. -->

# summarization-TFM-ClaudiaSoria_v3

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: 2.2691
- Rouge1: 0.2169
- Rouge2: 0.0997
- Rougel: 0.1816
- Rougelsum: 0.1816
- Generated Length: 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Generated Length |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------------:|
| No log        | 1.0   | 50   | 2.3805          | 0.2185 | 0.0987 | 0.1813 | 0.1816    | 19.0             |
| No log        | 2.0   | 100  | 2.2849          | 0.218  | 0.0993 | 0.1816 | 0.1816    | 19.0             |
| No log        | 3.0   | 150  | 2.2691          | 0.2169 | 0.0997 | 0.1816 | 0.1816    | 19.0             |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.3.0
- Datasets 2.18.0
- Tokenizers 0.15.2
