From 6a33449b25d59ffae132c49ebc7f372817df5ff5 Mon Sep 17 00:00:00 2001 From: ahmed531998 Date: Tue, 4 Apr 2023 05:37:12 +0200 Subject: [PATCH] new_code --- 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 deletions(-) delete mode 100644 BigRetriever/1_Pooling/config.json delete mode 100644 BigRetriever/README.md delete mode 100644 BigRetriever/config.json delete mode 100644 BigRetriever/config_sentence_transformers.json delete mode 100644 BigRetriever/modules.json delete mode 100644 BigRetriever/sentence_bert_config.json delete mode 100644 BigRetriever/special_tokens_map.json delete mode 100644 BigRetriever/tokenizer.json delete mode 100644 BigRetriever/tokenizer_config.json delete mode 100644 BigRetriever/vocab.txt diff --git a/BigRetriever/1_Pooling/config.json b/BigRetriever/1_Pooling/config.json deleted file mode 100644 index 4e09f29..0000000 --- a/BigRetriever/1_Pooling/config.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "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 deleted file mode 100644 index f942fae..0000000 --- a/BigRetriever/README.md +++ /dev/null @@ -1,129 +0,0 @@ ---- -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. - - - -## 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 - - - -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": "", - "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 - - \ No newline at end of file diff --git a/BigRetriever/config.json b/BigRetriever/config.json deleted file mode 100644 index 23bbec8..0000000 --- a/BigRetriever/config.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "_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 deleted file mode 100644 index e2fa6e5..0000000 --- a/BigRetriever/config_sentence_transformers.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "__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 deleted file mode 100644 index f7640f9..0000000 --- a/BigRetriever/modules.json +++ /dev/null @@ -1,14 +0,0 @@ -[ - { - "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 deleted file mode 100644 index f789d99..0000000 --- a/BigRetriever/sentence_bert_config.json +++ /dev/null @@ -1,4 +0,0 @@ -{ - "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 deleted file mode 100644 index 2eb83d0..0000000 --- a/BigRetriever/special_tokens_map.json +++ /dev/null @@ -1,15 +0,0 @@ -{ - "bos_token": "", - "cls_token": "", - "eos_token": "", - "mask_token": { - "content": "", - "lstrip": true, - "normalized": false, - "rstrip": false, - "single_word": false - }, - "pad_token": "", - "sep_token": "", - "unk_token": "[UNK]" -} diff --git a/BigRetriever/tokenizer.json b/BigRetriever/tokenizer.json deleted file mode 100644 index 9daf87c..0000000 --- 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