Upload Persian Job Embeddingg model

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

1_Pooling/config.json

@@ -0,0 +1,10 @@
+{
+  "word_embedding_dimension": 384,
+  "pooling_mode_cls_token": false,
+  "pooling_mode_mean_tokens": true,
+  "pooling_mode_max_tokens": false,
+  "pooling_mode_mean_sqrt_len_tokens": false,
+  "pooling_mode_weightedmean_tokens": false,
+  "pooling_mode_lasttoken": false,
+  "include_prompt": true
+}

README.md

@@ -1,11 +1,13 @@
 
-      # Persian Job Title Embedding
+# Persian Job Title Embedding
 
-      This model predicts ISCO codes for Persian job titles.
+This model predicts ISCO codes for Persian job titles using embeddings. It includes three datasets: 
+- Text Classification
+- Text Similarity 
+- Positive and Negative Texts
 
-      ## Model Details
-      - **Language:** Persian (Farsi)
-      - **Model Type:** Text classification
-      - **Framework:** Hugging Face Transformers
-      - **License:** MIT
-      
+## Model Details
+- **Language:** Persian (Farsi)
+- **Model Type:** STS (Semantic Textual Similarity)
+- **Framework:** Hugging Face Sentence Transformers
+- **License:** MIT

config.json

@@ -0,0 +1,26 @@
+{
+  "_name_or_path": "intfloat/multilingual-e5-small",
+  "architectures": [
+    "BertModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 384,
+  "initializer_range": 0.02,
+  "intermediate_size": 1536,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 250037
+}

config_sentence_transformers.json

@@ -0,0 +1,10 @@
+{
+  "__version__": {
+    "sentence_transformers": "3.1.1",
+    "transformers": "4.45.2",
+    "pytorch": "2.4.1+cu121"
+  },
+  "prompts": {},
+  "default_prompt_name": null,
+  "similarity_fn_name": null
+}

metadata.json

@@ -1 +1 @@
-{"tags": ["persian", "job-fa_embedding", "ISCO"], "datasets": ["job_titles"], "model_name": "fine-tuning-E_5_embedding", "language": "fa", "library_name": "sentence transformers", "widget": [{"text": "Your sample text here"}], "loss_function": "CosineSimilarityLoss"}
+{"tags": ["persian", "job-embedding", "ISCO"], "datasets": ["text-classification", "text-similarity", "triplet"], "model_name": "/home/ubuntu/lmis-ai/e5_finetuning/output/fine-tuning-E_5_embedding", "language": "fa", "library_name": "sentence-transformers", "widget": ["sentence1: \u0645\u062f\u06cc\u0631 \u0645\u0647\u062f \u06a9\u0648\u062f\u06a9", "sentence2:\u0645\u062f\u06cc\u0631\u0627\u0646 \u0627\u0631\u0627\u0626\u0647 \u062e\u062f\u0645\u0627\u062a \u0628\u0647\u062f\u0627\u0634\u062a\u06cc- \u062f\u0631\u0645\u0627\u0646\u06cc "], "loss_function": ["CoSENTLoss", "SoftmaxLoss", "TripletLoss"]}

model.safetensors

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+oid sha256:5e025c456d552d40fb007058c33ea6a822ff5c871095582e76085435c17d2d0c
+size 470637416

modules.json

@@ -0,0 +1,20 @@
+[
+  {
+    "idx": 0,
+    "name": "0",
+    "path": "",
+    "type": "sentence_transformers.models.Transformer"
+  },
+  {
+    "idx": 1,
+    "name": "1",
+    "path": "1_Pooling",
+    "type": "sentence_transformers.models.Pooling"
+  },
+  {
+    "idx": 2,
+    "name": "2",
+    "path": "2_Normalize",
+    "type": "sentence_transformers.models.Normalize"
+  }
+]

sentence_bert_config.json

@@ -0,0 +1,4 @@
+{
+  "max_seq_length": 512,
+  "do_lower_case": false
+}

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+    "lstrip": false,
+    "normalized": false,
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
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+    "lstrip": false,
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+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ef04f2b385d1514f500e779207ace0f53e30895ce37563179e29f4022d28ca38
+size 17083053

tokenizer_config.json

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+{
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+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
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+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "unk_token": "<unk>"
+}