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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: n3wtou/mt5-small-finedtuned-4-swahili |
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results: [] |
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datasets: |
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- csebuetnlp/xlsum |
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language: |
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- sw |
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metrics: |
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- f1 |
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- rouge |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# n3wtou/mt5-small-finedtuned-4-swahili |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on csebuetnlp/xlsum dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 2.4419 |
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- Validation Loss: 2.4809 |
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- Epoch: 9 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 0.0003, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0003, 'decay_steps': 19900, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 100, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.001} |
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- training_precision: mixed_float16 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 5.6636 | 2.9818 | 0 | |
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| 3.7789 | 2.7822 | 1 | |
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| 3.3841 | 2.6840 | 2 | |
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| 3.1496 | 2.6238 | 3 | |
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| 2.9656 | 2.5816 | 4 | |
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| 2.8134 | 2.5522 | 5 | |
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| 2.6914 | 2.5315 | 6 | |
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| 2.5935 | 2.4980 | 7 | |
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| 2.5056 | 2.4764 | 8 | |
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| 2.4419 | 2.4809 | 9 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- TensorFlow 2.12.0 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
