Upload TFBertForMaskedLM

README.md

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+---
+base_model: microsoft/graphcodebert-base
+tags:
+- generated_from_keras_callback
+model-index:
+- name: ASTBERT
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# ASTBERT
+
+This model is a fine-tuned version of [microsoft/graphcodebert-base](https://huggingface.co/microsoft/graphcodebert-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.0535
+- Train Accuracy: 0.9866
+- Epoch: 9
+
+## 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', 'learning_rate': 1e-04, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Train Accuracy | Epoch |
+|:----------:|:--------------:|:-----:|
+| 0.3447     | 0.9442         | 0     |
+| 0.2808     | 0.9495         | 1     |
+| 0.2292     | 0.9551         | 2     |
+| 0.1844     | 0.9609         | 3     |
+| 0.1434     | 0.9676         | 4     |
+| 0.1121     | 0.9735         | 5     |
+| 0.0891     | 0.9784         | 6     |
+| 0.0741     | 0.9819         | 7     |
+| 0.0625     | 0.9845         | 8     |
+| 0.0535     | 0.9866         | 9     |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- TensorFlow 2.10.0
+- Datasets 2.18.0
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "microsoft/graphcodebert-base",
+  "architectures": [
+    "BertForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.31.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1208d4d5128b78f2ffa32d7ecafc2afba599302f721be01e131b92269e05a008
+size 655073724