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--- |
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license: mit |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: ViditRaj/XLM_Roberta_Hindi_Ads_Classifier |
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results: [] |
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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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# ViditRaj/XLM_Roberta_Hindi_Ads_Classifier |
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.3258 |
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- Validation Loss: 0.2867 |
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- Train Accuracy: 0.9149 |
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- Epoch: 4 |
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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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 2e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Train Accuracy | Epoch | |
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|:----------:|:---------------:|:--------------:|:-----:| |
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| 0.3738 | 0.2117 | 0.9301 | 0 | |
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| 0.2323 | 0.1927 | 0.9347 | 1 | |
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| 0.2013 | 0.1739 | 0.9377 | 2 | |
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| 0.4551 | 0.5800 | 0.7219 | 3 | |
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| 0.3258 | 0.2867 | 0.9149 | 4 | |
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### Framework versions |
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- Transformers 4.27.3 |
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- TensorFlow 2.11.0 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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