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Upload TFBertForMaskedLM

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  1. README.md +46 -0
  2. config.json +25 -0
  3. tf_model.h5 +3 -0
README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_keras_callback
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+ model-index:
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+ - name: bert-base-vn-finetuned
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+ results: []
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+ ---
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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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+ # bert-base-vn-finetuned
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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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+
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - optimizer: None
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+ - training_precision: float32
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.26.1
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+ - TensorFlow 2.11.0
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+ - Tokenizers 0.13.2
config.json ADDED
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+ {
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+ "_name_or_path": "./hf_model",
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+ "architectures": [
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+ "BertForMaskedLM"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "transformers_version": "4.26.1",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 62000
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+ }
tf_model.h5 ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:c650809059a865b45ac071f12b7e163e7a7b3f9449e61266eb145b2cdf5d2134
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+ size 727214424