| --- |
| license: mit |
| base_model: badokorach/roberta-base-squad2-agric-181223 |
| tags: |
| - generated_from_keras_callback |
| model-index: |
| - name: badokorach/xlm-roberta-base-finetuned-mlqa-Mixed-AGRIC |
| 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. --> |
|
|
| # badokorach/xlm-roberta-base-finetuned-mlqa-Mixed-AGRIC |
|
|
| This model is a fine-tuned version of [badokorach/roberta-base-squad2-agric-181223](https://huggingface.co/badokorach/roberta-base-squad2-agric-181223) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Train Loss: 1.7330 |
| - Validation Loss: 0.0 |
| - Epoch: 9 |
|
|
| ## 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2220, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.02} |
| - training_precision: mixed_float16 |
|
|
| ### Training results |
|
|
| | Train Loss | Validation Loss | Epoch | |
| |:----------:|:---------------:|:-----:| |
| | 2.8883 | 0.0 | 0 | |
| | 2.6908 | 0.0 | 1 | |
| | 2.5937 | 0.0 | 2 | |
| | 2.5252 | 0.0 | 3 | |
| | 2.4397 | 0.0 | 4 | |
| | 2.3188 | 0.0 | 5 | |
| | 2.1666 | 0.0 | 6 | |
| | 2.0118 | 0.0 | 7 | |
| | 1.8718 | 0.0 | 8 | |
| | 1.7330 | 0.0 | 9 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.35.2 |
| - TensorFlow 2.15.0 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.1 |
|
|
