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XLM_Roberta_Hindi_Ads_Classifier – AI Model by ViditRaj | AlphaNeural AI
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ViditRaj
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XLM_Roberta_Hindi_Ads_Classifier
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transformers
tf
xlm-roberta
text-classification
generated_from_keras_callback
mit
autotrain_compatible
endpoints_compatible
us
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ViditRaj/XLM_Roberta_Hindi_Ads_Classifier
This model is a fine-tuned version of
xlm-roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.3258
Validation Loss: 0.2867
Train Accuracy: 0.9149
Epoch: 4
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': '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}
training_precision: float32
Training results
Train Loss
Validation Loss
Train Accuracy
Epoch
0.3738
0.2117
0.9301
0
0.2323
0.1927
0.9347
1
0.2013
0.1739
0.9377
2
0.4551
0.5800
0.7219
3
0.3258
0.2867
0.9149
4
Framework versions
Transformers 4.27.3
TensorFlow 2.11.0
Datasets 2.10.1
Tokenizers 0.13.2
