Upload TFDistilBertForMaskedLM
Browse files- README.md +6 -6
- config.json +3 -3
- tf_model.h5 +2 -2
README.md
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tags:
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- generated_from_keras_callback
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model-index:
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- name:
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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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#
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: None
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- training_precision:
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### Training results
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### Framework versions
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- Transformers 4.
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- TensorFlow 2.
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- Datasets 2.1.0
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- Tokenizers 0.13.3
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tags:
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- generated_from_keras_callback
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model-index:
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- name: distilBERT-Nepali
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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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# distilBERT-Nepali
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 16760, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
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- training_precision: mixed_float16
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### Training results
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### Framework versions
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- Transformers 4.30.2
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- TensorFlow 2.12.0
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- Datasets 2.1.0
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- Tokenizers 0.13.3
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config.json
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{
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"_name_or_path": "/
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"activation": "gelu",
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"architectures": [
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"DistilBertForMaskedLM"
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"transformers_version": "4.
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"vocab_size":
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}
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{
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"_name_or_path": "raygx/distilBERT-Nepali",
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"activation": "gelu",
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"architectures": [
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"DistilBertForMaskedLM"
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"transformers_version": "4.30.2",
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"vocab_size": 50000
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}
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 636980224
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