transformers tf t5 text2text-generation generated_from_keras_callback base_model:google/t5-efficient-tiny base_model:finetune:google/t5-efficient-tiny license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
base_model: google/t5-efficient-tiny
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: SouthMemphis/t5-tiny_for_summarization
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# SouthMemphis/t5-tiny_for_summarization

This model is a fine-tuned version of [google/t5-efficient-tiny](https://huggingface.co/google/t5-efficient-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 4.4877
- Validation Loss: 3.4974
- Train Rouge1: 21.2490
- Train Rouge2: 4.2075
- Train Rougel: 16.9993
- Train Rougelsum: 16.9842
- Train Gen Len: 16.678
- Epoch: 4

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 6.2678     | 3.9891          | 17.7562      | 3.0062       | 14.6825      | 14.7004         | 14.717        | 0     |
| 5.1618     | 3.7340          | 19.5200      | 3.7088       | 16.1766      | 16.1763         | 15.528        | 1     |
| 4.8511     | 3.6247          | 20.1377      | 3.7645       | 16.1460      | 16.1223         | 15.966        | 2     |
| 4.6068     | 3.5431          | 20.4053      | 3.9626       | 16.3460      | 16.3444         | 15.884        | 3     |
| 4.4877     | 3.4974          | 21.2490      | 4.2075       | 16.9993      | 16.9842         | 16.678        | 4     |


### Framework versions

- Transformers 4.33.1
- TensorFlow 2.15.0-dev20230905
- Datasets 2.14.4
- Tokenizers 0.13.3
