From a8bfe9a8356732435be2e5f4859e6dfc7f6e368c Mon Sep 17 00:00:00 2001
From: ahmed531998 <ahmed531998@aucegypt.edu>
Date: Tue, 4 Apr 2023 05:42:11 +0200
Subject: [PATCH] retriever

---
 BigRetriever/1_Pooling/config.json            |     7 +
 BigRetriever/README.md                        |   129 +
 BigRetriever/config.json                      |    24 +
 .../config_sentence_transformers.json         |     7 +
 BigRetriever/modules.json                     |    14 +
 BigRetriever/sentence_bert_config.json        |     4 +
 BigRetriever/special_tokens_map.json          |    15 +
 BigRetriever/tokenizer.json                   | 30636 ++++++++++++++++
 BigRetriever/tokenizer_config.json            |    16 +
 BigRetriever/vocab.txt                        | 30527 +++++++++++++++
 10 files changed, 61379 insertions(+)
 create mode 100644 BigRetriever/1_Pooling/config.json
 create mode 100644 BigRetriever/README.md
 create mode 100644 BigRetriever/config.json
 create mode 100644 BigRetriever/config_sentence_transformers.json
 create mode 100644 BigRetriever/modules.json
 create mode 100644 BigRetriever/sentence_bert_config.json
 create mode 100644 BigRetriever/special_tokens_map.json
 create mode 100644 BigRetriever/tokenizer.json
 create mode 100644 BigRetriever/tokenizer_config.json
 create mode 100644 BigRetriever/vocab.txt

diff --git a/BigRetriever/1_Pooling/config.json b/BigRetriever/1_Pooling/config.json
new file mode 100644
index 0000000..4e09f29
--- /dev/null
+++ b/BigRetriever/1_Pooling/config.json
@@ -0,0 +1,7 @@
+{
+  "word_embedding_dimension": 768,
+  "pooling_mode_cls_token": false,
+  "pooling_mode_mean_tokens": true,
+  "pooling_mode_max_tokens": false,
+  "pooling_mode_mean_sqrt_len_tokens": false
+}
\ No newline at end of file
diff --git a/BigRetriever/README.md b/BigRetriever/README.md
new file mode 100644
index 0000000..f942fae
--- /dev/null
+++ b/BigRetriever/README.md
@@ -0,0 +1,129 @@
+---
+pipeline_tag: sentence-similarity
+tags:
+- sentence-transformers
+- feature-extraction
+- sentence-similarity
+- transformers
+
+---
+
+# {MODEL_NAME}
+
+This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
+
+<!--- Describe your model here -->
+
+## Usage (Sentence-Transformers)
+
+Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
+
+```
+pip install -U sentence-transformers
+```
+
+Then you can use the model like this:
+
+```python
+from sentence_transformers import SentenceTransformer
+sentences = ["This is an example sentence", "Each sentence is converted"]
+
+model = SentenceTransformer('{MODEL_NAME}')
+embeddings = model.encode(sentences)
+print(embeddings)
+```
+
+
+
+## Usage (HuggingFace Transformers)
+Without [sentence-transformers](https://www.SBERT.net), you can use the model like this: First, you pass your input through the transformer model, then you have to apply the right pooling-operation on-top of the contextualized word embeddings.
+
+```python
+from transformers import AutoTokenizer, AutoModel
+import torch
+
+
+#Mean Pooling - Take attention mask into account for correct averaging
+def mean_pooling(model_output, attention_mask):
+    token_embeddings = model_output[0] #First element of model_output contains all token embeddings
+    input_mask_expanded = attention_mask.unsqueeze(-1).expand(token_embeddings.size()).float()
+    return torch.sum(token_embeddings * input_mask_expanded, 1) / torch.clamp(input_mask_expanded.sum(1), min=1e-9)
+
+
+# Sentences we want sentence embeddings for
+sentences = ['This is an example sentence', 'Each sentence is converted']
+
+# Load model from HuggingFace Hub
+tokenizer = AutoTokenizer.from_pretrained('{MODEL_NAME}')
+model = AutoModel.from_pretrained('{MODEL_NAME}')
+
+# Tokenize sentences
+encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')
+
+# Compute token embeddings
+with torch.no_grad():
+    model_output = model(**encoded_input)
+
+# Perform pooling. In this case, mean pooling.
+sentence_embeddings = mean_pooling(model_output, encoded_input['attention_mask'])
+
+print("Sentence embeddings:")
+print(sentence_embeddings)
+```
+
+
+
+## Evaluation Results
+
+<!--- Describe how your model was evaluated -->
+
+For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})
+
+
+## Training
+The model was trained with the parameters:
+
+**DataLoader**:
+
+`sentence_transformers.datasets.NoDuplicatesDataLoader.NoDuplicatesDataLoader` of length 21515 with parameters:
+```
+{'batch_size': 8}
+```
+
+**Loss**:
+
+`sentence_transformers.losses.MultipleNegativesRankingLoss.MultipleNegativesRankingLoss` with parameters:
+  ```
+  {'scale': 20.0, 'similarity_fct': 'cos_sim'}
+  ```
+
+Parameters of the fit()-Method:
+```
+{
+    "epochs": 5,
+    "evaluation_steps": 0,
+    "evaluator": "NoneType",
+    "max_grad_norm": 1,
+    "optimizer_class": "<class 'torch.optim.adamw.AdamW'>",
+    "optimizer_params": {
+        "lr": 2e-05
+    },
+    "scheduler": "WarmupLinear",
+    "steps_per_epoch": null,
+    "warmup_steps": 10757,
+    "weight_decay": 0.01
+}
+```
+
+
+## Full Model Architecture
+```
+SentenceTransformer(
+  (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: MPNetModel 
+  (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False})
+)
+```
+
+## Citing & Authors
+
+<!--- Describe where people can find more information -->
\ No newline at end of file
diff --git a/BigRetriever/config.json b/BigRetriever/config.json
new file mode 100644
index 0000000..23bbec8
--- /dev/null
+++ b/BigRetriever/config.json
@@ -0,0 +1,24 @@
+{
+  "_name_or_path": "microsoft/mpnet-base",
+  "architectures": [
+    "MPNetModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "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": "mpnet",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "relative_attention_num_buckets": 32,
+  "torch_dtype": "float32",
+  "transformers_version": "4.20.1",
+  "vocab_size": 30527
+}
diff --git a/BigRetriever/config_sentence_transformers.json b/BigRetriever/config_sentence_transformers.json
new file mode 100644
index 0000000..e2fa6e5
--- /dev/null
+++ b/BigRetriever/config_sentence_transformers.json
@@ -0,0 +1,7 @@
+{
+  "__version__": {
+    "sentence_transformers": "2.2.2",
+    "transformers": "4.20.1",
+    "pytorch": "1.12.0"
+  }
+}
\ No newline at end of file
diff --git a/BigRetriever/modules.json b/BigRetriever/modules.json
new file mode 100644
index 0000000..f7640f9
--- /dev/null
+++ b/BigRetriever/modules.json
@@ -0,0 +1,14 @@
+[
+  {
+    "idx": 0,
+    "name": "0",
+    "path": "",
+    "type": "sentence_transformers.models.Transformer"
+  },
+  {
+    "idx": 1,
+    "name": "1",
+    "path": "1_Pooling",
+    "type": "sentence_transformers.models.Pooling"
+  }
+]
\ No newline at end of file
diff --git a/BigRetriever/sentence_bert_config.json b/BigRetriever/sentence_bert_config.json
new file mode 100644
index 0000000..f789d99
--- /dev/null
+++ b/BigRetriever/sentence_bert_config.json
@@ -0,0 +1,4 @@
+{
+  "max_seq_length": 512,
+  "do_lower_case": false
+}
\ No newline at end of file
diff --git a/BigRetriever/special_tokens_map.json b/BigRetriever/special_tokens_map.json
new file mode 100644
index 0000000..2eb83d0
--- /dev/null
+++ b/BigRetriever/special_tokens_map.json
@@ -0,0 +1,15 @@
+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "[UNK]"
+}
diff --git a/BigRetriever/tokenizer.json b/BigRetriever/tokenizer.json
new file mode 100644
index 0000000..9daf87c
--- /dev/null
+++ b/BigRetriever/tokenizer.json
@@ -0,0 +1,30636 @@
+{
+  "version": "1.0",
+  "truncation": {
+    "direction": "Right",
+    "max_length": 512,
+    "strategy": "LongestFirst",
+    "stride": 0
+  },
+  "padding": {
+    "strategy": "BatchLongest",
+    "direction": "Right",
+    "pad_to_multiple_of": null,
+    "pad_id": 1,
+    "pad_type_id": 0,
+    "pad_token": "<pad>"
+  },
+  "added_tokens": [
+    {
+      "id": 0,
+      "content": "<s>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 1,
+      "content": "<pad>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 2,
+      "content": "</s>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 3,
+      "content": "<unk>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": true,
+      "special": true
+    },
+    {
+      "id": 104,
+      "content": "[UNK]",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 30526,
+      "content": "<mask>",
+      "single_word": false,
+      "lstrip": true,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    }
+  ],
+  "normalizer": {
+    "type": "BertNormalizer",
+    "clean_text": true,
+    "handle_chinese_chars": true,
+    "strip_accents": null,
+    "lowercase": true
+  },
+  "pre_tokenizer": {
+    "type": "BertPreTokenizer"
+  },
+  "post_processor": {
+    "type": "RobertaProcessing",
+    "sep": [
+      "</s>",
+      2
+    ],
+    "cls": [
+      "<s>",
+      0
+    ],
+    "trim_offsets": true,
+    "add_prefix_space": false
+  },
+  "decoder": {
+    "type": "WordPiece",
+    "prefix": "##",
+    "cleanup": true
+  },
+  "model": {
+    "type": "WordPiece",
+    "unk_token": "[UNK]",
+    "continuing_subword_prefix": "##",
+    "max_input_chars_per_word": 100,
+    "vocab": {
+      "<s>": 0,
+      "<pad>": 1,
+      "</s>": 2,
+      "<unk>": 3,
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+      "[unused0]": 5,
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+      "##阝": 30500,
+      "##阿": 30501,
+      "##陳": 30502,
+      "##陽": 30503,
+      "##雄": 30504,
+      "##青": 30505,
+      "##面": 30506,
+      "##風": 30507,
+      "##食": 30508,
+      "##香": 30509,
+      "##馬": 30510,
+      "##高": 30511,
+      "##龍": 30512,
+      "##龸": 30513,
+      "##fi": 30514,
+      "##fl": 30515,
+      "##！": 30516,
+      "##（": 30517,
+      "##）": 30518,
+      "##，": 30519,
+      "##－": 30520,
+      "##．": 30521,
+      "##／": 30522,
+      "##：": 30523,
+      "##？": 30524,
+      "##～": 30525,
+      "<mask>": 30526
+    }
+  }
+}
\ No newline at end of file
diff --git a/BigRetriever/tokenizer_config.json b/BigRetriever/tokenizer_config.json
new file mode 100644
index 0000000..d0f237f
--- /dev/null
+++ b/BigRetriever/tokenizer_config.json
@@ -0,0 +1,16 @@
+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "do_lower_case": true,
+  "eos_token": "</s>",
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "name_or_path": "microsoft/mpnet-base",
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "special_tokens_map_file": null,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "MPNetTokenizer",
+  "unk_token": "[UNK]"
+}
diff --git a/BigRetriever/vocab.txt b/BigRetriever/vocab.txt
new file mode 100644
index 0000000..1c51ab7
--- /dev/null
+++ b/BigRetriever/vocab.txt
@@ -0,0 +1,30527 @@
+<s>
+<pad>
+</s>
+<unk>
+[PAD]
+[unused0]
+[unused1]
+[unused2]
+[unused3]
+[unused4]
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+[unused52]
+[unused53]
+[unused54]
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+[unused60]
+[unused61]
+[unused62]
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+[unused69]
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+[unused72]
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