| --- |
| license: apache-2.0 |
| base_model: google/t5-v1_1-small |
| tags: |
| - generated_from_keras_callback |
| model-index: |
| - name: dot-ammar/dotless_model-small |
| results: [] |
| datasets: |
| - dot-ammar/AR-dotless-mediumPlus |
| language: |
| - ar |
| metrics: |
| - accuracy |
| --- |
| |
| <!-- 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. --> |
|
|
| # dot-ammar/dotless_model-small |
| |
| This model is a fine-tuned version of [google/t5-v1_1-small](https://huggingface.co/google/t5-v1_1-small) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Train Loss: 2.0097 |
| - Validation Loss: 1.2814 |
| - Epoch: 1 |
| |
| ## 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: mixed_float16 |
|
|
| ### Training results |
|
|
| | Train Loss | Validation Loss | Epoch | |
| |:----------:|:---------------:|:-----:| |
| | 4.4462 | 2.1080 | 0 | |
| | 2.0097 | 1.2814 | 1 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.33.0 |
| - TensorFlow 2.12.0 |
| - Datasets 2.1.0 |
| - Tokenizers 0.13.3 |
