transformers tf tensorboard t5 text2text-generation generated_from_keras_callback base_model:fairnightzz/t5-small-finetuned-notes2anki-v1 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: fairnightzz/t5-small-finetuned-notes2anki-v1
tags:
- generated_from_keras_callback
model-index:
- name: fairnightzz/t5-small-finetuned-notes2anki-v1
  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. -->

# fairnightzz/t5-small-finetuned-notes2anki-v1

This model is a fine-tuned version of [fairnightzz/t5-small-finetuned-notes2anki-v1](https://huggingface.co/fairnightzz/t5-small-finetuned-notes2anki-v1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 2.0038
- Validation Loss: 1.8288
- Train Rouge1: 13.1471
- Train Rouge2: 8.0633
- Train Rougel: 11.5696
- Train Rougelsum: 12.9462
- Train Gen Len: 19.0
- Epoch: 19

## 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 |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 3.4022     | 2.7364          | 11.2311      | 4.8587       | 8.7075       | 10.4700         | 19.0          | 0     |
| 3.1245     | 2.5569          | 10.5563      | 4.2629       | 8.3375       | 9.8786          | 19.0          | 1     |
| 2.9024     | 2.4407          | 11.8667      | 6.4823       | 9.7059       | 11.2729         | 19.0          | 2     |
| 2.7711     | 2.3598          | 11.8220      | 7.0101       | 10.1169      | 11.6068         | 19.0          | 3     |
| 2.6620     | 2.2961          | 10.8857      | 5.9477       | 9.2469       | 10.6552         | 19.0          | 4     |
| 2.5896     | 2.2397          | 11.2067      | 6.5960       | 9.7992       | 10.9471         | 19.0          | 5     |
| 2.5014     | 2.1927          | 9.9929       | 5.4838       | 8.5468       | 9.7819          | 19.0          | 6     |
| 2.4545     | 2.1455          | 10.8128      | 5.8837       | 8.7679       | 10.3815         | 19.0          | 7     |
| 2.3996     | 2.1049          | 11.3686      | 5.9480       | 8.9953       | 10.6468         | 19.0          | 8     |
| 2.3564     | 2.0707          | 10.7723      | 5.1838       | 8.6172       | 10.1052         | 19.0          | 9     |
| 2.3213     | 2.0349          | 11.2138      | 5.9159       | 9.1719       | 10.5998         | 19.0          | 10    |
| 2.2527     | 2.0028          | 10.9398      | 6.1004       | 9.2349       | 10.1944         | 19.0          | 11    |
| 2.2318     | 1.9755          | 10.9252      | 6.2422       | 9.1758       | 10.1406         | 19.0          | 12    |
| 2.1920     | 1.9456          | 11.1478      | 6.5824       | 9.6520       | 10.6710         | 19.0          | 13    |
| 2.1522     | 1.9267          | 11.3610      | 6.4087       | 9.9797       | 10.9126         | 19.0          | 14    |
| 2.1173     | 1.9031          | 11.3989      | 6.5776       | 10.1344      | 10.9575         | 19.0          | 15    |
| 2.0782     | 1.8845          | 13.2115      | 8.1938       | 11.6289      | 12.9284         | 19.0          | 16    |
| 2.0779     | 1.8688          | 13.1524      | 8.1482       | 11.5699      | 12.8713         | 19.0          | 17    |
| 2.0447     | 1.8506          | 13.2316      | 8.2242       | 11.6640      | 12.9850         | 19.0          | 18    |
| 2.0038     | 1.8288          | 13.1471      | 8.0633       | 11.5696      | 12.9462         | 19.0          | 19    |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.0
