File size: 1,958 Bytes
e980e9f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 |
---
license: apache-2.0
base_model: tawfikgh/T5-CNN-Daily-Mail
tags:
- generated_from_keras_callback
model-index:
- name: tawfikgh/T5-CNN-Daily-Mail-30000
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. -->
# tawfikgh/T5-CNN-Daily-Mail-30000
This model is a fine-tuned version of [tawfikgh/T5-CNN-Daily-Mail](https://huggingface.co/tawfikgh/T5-CNN-Daily-Mail) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.9838
- Train Accuracy: 0.4388
- Validation Loss: 1.7669
- Validation Accuracy: 0.4634
- Train Rouge1: 23.0643
- Train Rouge2: 9.2989
- Train Rougel: 18.6586
- Train Rougelsum: 21.4398
- Train F1: 0.9629
- Train Gen Len: 19.0
- Epoch: 0
## 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': 5e-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 | Train Accuracy | Validation Loss | Validation Accuracy | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train F1 | Train Gen Len | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:------------:|:------------:|:------------:|:---------------:|:--------:|:-------------:|:-----:|
| 1.9838 | 0.4388 | 1.7669 | 0.4634 | 23.0643 | 9.2989 | 18.6586 | 21.4398 | 0.9629 | 19.0 | 0 |
### Framework versions
- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.0
|