PrabalAryal/multiclassclassification

1---2library_name: transformers3license: apache-2.04base_model: bert-base-multilingual-cased5tags:6- generated_from_keras_callback7model-index:8- name: multiclassclassification9  results: []10---11 12<!-- This model card has been generated automatically according to the information Keras had access to. You should13probably proofread and complete it, then remove this comment. -->14 15# multiclassclassification16 17This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.18It achieves the following results on the evaluation set:19- Train Loss: 0.210920- Train Accuracy: 0.964021- Validation Loss: 0.124622- Validation Accuracy: 0.979123- Epoch: 624 25## Model description26 27More information needed28 29## Intended uses & limitations30 31More information needed32 33## Training and evaluation data34 35More information needed36 37## Training procedure38 39### Training hyperparameters40 41The following hyperparameters were used during training:42- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.0}43- training_precision: float3244 45### Training results46 47| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |48|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|49| 4.3108     | 0.1497         | 3.3191          | 0.2857              | 0     |50| 2.7219     | 0.4440         | 1.7910          | 0.6764              | 1     |51| 1.5252     | 0.7185         | 0.8825          | 0.8578              | 2     |52| 0.8069     | 0.8690         | 0.4319          | 0.9354              | 3     |53| 0.4793     | 0.9235         | 0.2545          | 0.9609              | 4     |54| 0.2931     | 0.9526         | 0.1720          | 0.9755              | 5     |55| 0.2109     | 0.9640         | 0.1246          | 0.9791              | 6     |56 57 58### Framework versions59 60- Transformers 4.51.361- TensorFlow 2.18.062- Datasets 3.6.063- Tokenizers 0.21.164