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README.md

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+---
+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