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license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_keras_callback
model-index:
- name: Lightscale/aap_summarization_model_3
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. -->
# Lightscale/aap_summarization_model_3
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 3.5410
- Validation Loss: 2.6951
- Train Rouge1: 0.1943
- Train Rouge2: 0.0749
- Train Rougel: 0.1532
- Train Rougelsum: 0.1527
- Train Gen Len: 19.0
- 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 |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 4.4213 | 3.7473 | 0.1974 | 0.0822 | 0.1557 | 0.1557 | 19.0 | 0 |
| 4.2189 | 3.4754 | 0.1988 | 0.0822 | 0.158 | 0.1579 | 19.0 | 1 |
| 3.9742 | 3.1733 | 0.1988 | 0.0822 | 0.158 | 0.1579 | 19.0 | 2 |
| 3.8071 | 2.9327 | 0.1916 | 0.0735 | 0.1506 | 0.1501 | 19.0 | 3 |
| 3.5410 | 2.6951 | 0.1943 | 0.0749 | 0.1532 | 0.1527 | 19.0 | 4 |
### Framework versions
- Transformers 4.42.4
- TensorFlow 2.17.0
- Datasets 2.20.0
- Tokenizers 0.19.1
|