init SmartBERT V3 model

README.md

@@ -1,3 +1,65 @@
----
-license: mit
----
+---
+license: mit
+language:
+  - en
+base_model:
+  - microsoft/codebert-base-mlm
+pipeline_tag: sentence-similarity
+tags:
+  - smart-contract
+  - web3
+  - software-engineering
+  - embedding
+  - codebert
+---
+
+# SmartBERT V3 CodeBERT
+
+![SmartBERT](./framework.png)
+
+## Overview
+
+**SmartBERT V3** is a pre-trained programming language model, initialized with **[CodeBERT-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm)**. It has been further trained on [SmartBERT V2](https://huggingface.co/web3se/SmartBERT-v2) with an additional **64,000** smart contracts, to enhance its robustness in representing smart contract code at the _function_ level.
+
+- **Training Data:** Trained on a total of **80,000** smart contracts, including **16,000** from [SmartBERT V2](https://huggingface.co/web3se/SmartBERT-v2) and **64,000** (starts from 30001) new contracts.
+- **Hardware:** Utilized 2 Nvidia A100 80G GPUs.
+- **Training Duration:** Over 30 hours.
+- **Evaluation Data:** Evaluated on **1,500** (starts from 96425) smart contracts.
+
+## Preprocessing
+
+All newline (`\n`) and tab (`\t`) characters in the _function_ code were replaced with a single space to ensure consistency in the input data format.
+
+## Base Model
+
+- **Original Model**: [CodeBERT-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm)
+
+## Training Setup
+
+```python
+training_args = TrainingArguments(
+  output_dir=OUTPUT_DIR,
+  overwrite_output_dir=True,
+  num_train_epochs=20,
+  per_device_train_batch_size=64,
+  save_steps=10000,
+  save_total_limit=2,
+  evaluation_strategy="steps",
+  eval_steps=10000,
+  resume_from_checkpoint=checkpoint
+)
+```
+
+## How to Use
+
+To train and deploy the SmartBERT V3 model for Web API services, please refer to our GitHub repository: [web3se-lab/SmartBERT](https://github.com/web3se-lab/SmartBERT).
+
+## Contributors
+
+- [Youwei Huang](https://www.devil.ren)
+- [Sen Fang](https://github.com/TomasAndersonFang)
+
+## Sponsors
+
+- [Institute of Intelligent Computing Technology, Suzhou, CAS](http://iict.ac.cn/)
+- CAS Mino (中科劢诺)

config.json

@@ -0,0 +1,28 @@
+{
+  "_name_or_path": "./model/SmartBERT-codebert-16000",
+  "architectures": [
+    "RobertaForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "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": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ee606e09af427f20e264da959fb9162a8fbce455fc921296294cfefd88bfe46a
+size 498863862

special_tokens_map.json

@@ -0,0 +1,9 @@
+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": "<mask>",
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

@@ -0,0 +1,63 @@
+{
+  "add_prefix_space": false,
+  "bos_token": {
+    "__type": "AddedToken",
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": {
+    "__type": "AddedToken",
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "__type": "AddedToken",
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "errors": "replace",
+  "mask_token": {
+    "__type": "AddedToken",
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "model_max_length": 512,
+  "pad_token": {
+    "__type": "AddedToken",
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "__type": "AddedToken",
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "tokenizer_class": "RobertaTokenizer",
+  "unk_token": {
+    "__type": "AddedToken",
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ea7957e5a22d9aa5348c6d1d7a5784773db403329029e673c3d9ea3bb2a1b34
+size 4024