| --- |
| license: mit |
| base_model: xlm-roberta-base |
| tags: |
| - generated_from_keras_callback |
| model-index: |
| - name: Harshitha0813/intent-classification |
| 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. --> |
|
|
| # Harshitha0813/intent-classification |
|
|
| This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Train Loss: 1.5007 |
| - Validation Loss: 1.4990 |
| - Train Accuracy: 0.4564 |
| - Epoch: 0 |
|
|
| ## Model description |
|
|
| 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 |
|
|
| ## Training procedure |
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|
| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 8, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False} |
| - training_precision: float32 |
|
|
| ### Training results |
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|
| | Train Loss | Validation Loss | Train Accuracy | Epoch | |
| |:----------:|:---------------:|:--------------:|:-----:| |
| | 1.5007 | 1.4990 | 0.4564 | 0 | |
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|
| ### Framework versions |
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|
| - Transformers 4.32.1 |
| - TensorFlow 2.15.0 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.2 |
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|
