tensorboard safetensors t5 generated_from_trainer base_model:google-t5/t5-base base_model:finetune:google-t5/t5-base license:apache-2.0 region:us
---
base_model: t5-base
license: apache-2.0
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: t5-base-finetuned-summarization-FairytaleQA
  results: []
---

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

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1724
- Rouge1: 23.8024
- Rouge2: 14.5314
- Rougel: 22.4922
- Rougelsum: 23.2411
- Gen Len: 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.1779        | 1.0   | 2137  | 0.1745          | 23.8099 | 14.5515 | 22.4987 | 23.2423   | 19.0    |
| 0.1705        | 2.0   | 4274  | 0.1724          | 23.8024 | 14.5196 | 22.4922 | 23.2411   | 19.0    |
| 0.1717        | 3.0   | 6411  | 0.1724          | 23.8024 | 14.5314 | 22.4922 | 23.2411   | 19.0    |
| 0.1723        | 4.0   | 8548  | 0.1724          | 23.8024 | 14.5314 | 22.4922 | 23.2411   | 19.0    |
| 0.1743        | 5.0   | 10685 | 0.1724          | 23.8024 | 14.5314 | 22.4922 | 23.2411   | 19.0    |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
