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Upload TFBertForMaskedLM

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  1. README.md +62 -0
  2. config.json +27 -0
  3. tf_model.h5 +3 -0
README.md ADDED
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+ ---
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+ base_model: microsoft/codebert-base-mlm
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+ tags:
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+ - generated_from_keras_callback
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+ model-index:
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+ - name: ASTBERT-cb-5k-methods-multipath
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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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+ # ASTBERT-cb-5k-methods-multipath
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+
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+ This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Train Loss: 0.2356
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+ - Train Accuracy: 0.9538
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+ - Epoch: 9
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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: {'name': 'Adam', 'learning_rate': 1e-04, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
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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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+ | Train Loss | Train Accuracy | Epoch |
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+ |:----------:|:--------------:|:-----:|
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+ | 0.9070 | 0.8987 | 0 |
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+ | 0.5501 | 0.9290 | 1 |
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+ | 0.5038 | 0.9298 | 2 |
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+ | 0.4764 | 0.9310 | 3 |
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+ | 0.4474 | 0.9328 | 4 |
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+ | 0.4104 | 0.9354 | 5 |
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+ | 0.3686 | 0.9386 | 6 |
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+ | 0.3234 | 0.9429 | 7 |
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+ | 0.2781 | 0.9480 | 8 |
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+ | 0.2356 | 0.9538 | 9 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.31.0
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+ - TensorFlow 2.10.0
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+ - Datasets 2.18.0
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+ - Tokenizers 0.13.3
config.json ADDED
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+ {
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+ "_name_or_path": "microsoft/codebert-base-mlm",
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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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+ "bos_token_id": 0,
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+ "classifier_dropout": null,
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+ "eos_token_id": 2,
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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-05,
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+ "max_position_embeddings": 514,
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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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+ "output_past": true,
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+ "pad_token_id": 1,
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+ "position_embedding_type": "absolute",
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+ "transformers_version": "4.31.0",
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ "vocab_size": 50265
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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:b6f6b22b2b07c3e57890bd35a12d9dc57430f39a781be703ac2d578f1e85c2ea
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+ size 655073724