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---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: LucaReggiani/t5-small-nlpfinalproject4-xsum
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. -->
# LucaReggiani/t5-small-nlpfinalproject4-xsum
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:
- Train Loss: 3.0688
- Validation Loss: 2.9609
- Train Rouge1: 22.9985
- Train Rouge2: 5.0413
- Train Rougel: 18.1856
- Train Rougelsum: 18.0816
- Train Gen Len: 18.67
- Epoch: 8
## 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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 5e-05, 'beta_1': 0.9, 'beta_2': 0.98, 'epsilon': 1e-06, 'amsgrad': False}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 3.8921 | 3.2708 | 18.8870 | 3.0920 | 14.9668 | 14.9517 | 18.67 | 0 |
| 3.5034 | 3.1209 | 21.5417 | 3.8130 | 16.5211 | 16.5045 | 18.37 | 1 |
| 3.3763 | 3.0605 | 21.0710 | 3.6133 | 15.7808 | 15.7437 | 18.33 | 2 |
| 3.2971 | 3.0305 | 21.6173 | 4.0001 | 16.2502 | 16.2302 | 18.5 | 3 |
| 3.2452 | 3.0086 | 22.8085 | 4.9522 | 17.8831 | 17.7797 | 18.6 | 4 |
| 3.1899 | 2.9920 | 22.7903 | 5.3026 | 17.8844 | 17.8651 | 18.58 | 5 |
| 3.1514 | 2.9775 | 23.0533 | 5.3456 | 18.4312 | 18.3636 | 18.52 | 6 |
| 3.1050 | 2.9686 | 23.0767 | 5.1264 | 18.4552 | 18.3503 | 18.54 | 7 |
| 3.0688 | 2.9609 | 22.9985 | 5.0413 | 18.1856 | 18.0816 | 18.67 | 8 |
### Framework versions
- Transformers 4.26.1
- TensorFlow 2.11.0
- Datasets 2.9.0
- Tokenizers 0.13.2
|