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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_2
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_2
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: 3.1794
- Validation Loss: 2.4275
- Train Rouge1: 0.1955
- Train Rouge2: 0.0846
- Train Rougel: 0.1599
- Train Rougelsum: 0.1594
- Train Gen Len: 19.0
- Epoch: 2
## 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 |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 3.4805 | 2.6430 | 0.1829 | 0.0809 | 0.1503 | 0.1504 | 19.0 | 0 |
| 3.2576 | 2.5024 | 0.1955 | 0.0846 | 0.1599 | 0.1594 | 19.0 | 1 |
| 3.1794 | 2.4275 | 0.1955 | 0.0846 | 0.1599 | 0.1594 | 19.0 | 2 |
### Framework versions
- Transformers 4.42.4
- TensorFlow 2.17.0
- Datasets 2.20.0
- Tokenizers 0.19.1
|