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.gitattributes CHANGED
@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ checkpoint-69/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ checkpoint-69/unigram.json filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ unigram.json filter=lfs diff=lfs merge=lfs -text
1_Pooling/config.json ADDED
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+ {
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+ "word_embedding_dimension": 384,
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+ "pooling_mode_cls_token": false,
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+ "pooling_mode_mean_tokens": true,
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+ "pooling_mode_max_tokens": false,
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+ "pooling_mode_mean_sqrt_len_tokens": false,
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+ "pooling_mode_weightedmean_tokens": false,
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+ "pooling_mode_lasttoken": false,
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+ "include_prompt": true
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+ }
README.md ADDED
@@ -0,0 +1,62 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+
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+ ---
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+ library_name: sentence-transformers
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+ tags:
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+ - sentence-transformers
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+ - sentence-similarity
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+ - feature-extraction
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+ - autotrain
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+ base_model: sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
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+ widget:
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+ - source_sentence: 'search_query: i love autotrain'
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+ sentences:
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+ - 'search_query: huggingface auto train'
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+ - 'search_query: hugging face auto train'
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+ - 'search_query: i love autotrain'
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+ pipeline_tag: sentence-similarity
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+ ---
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+
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+ # Model Trained Using AutoTrain
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+
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+ - Problem type: Sentence Transformers
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+
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+ ## Validation Metrics
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+ loss: 0.4411565661430359
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+
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+ runtime: 2.0186
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+
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+ samples_per_second: 90.16
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+
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+ steps_per_second: 5.945
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+
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+ : 3.0
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+
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+ ## Usage
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+
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+ ### Direct Usage (Sentence Transformers)
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+
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+ First install the Sentence Transformers library:
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+
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+ ```bash
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+ pip install -U sentence-transformers
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+ ```
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+
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+ Then you can load this model and run inference.
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+ ```python
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+ from sentence_transformers import SentenceTransformer
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+
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+ # Download from the Hugging Face Hub
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+ model = SentenceTransformer("sentence_transformers_model_id")
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+ # Run inference
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+ sentences = [
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+ 'search_query: autotrain',
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+ 'search_query: auto train',
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+ 'search_query: i love autotrain',
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+ ]
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+ embeddings = model.encode(sentences)
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+ print(embeddings.shape)
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+
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+ # Get the similarity scores for the embeddings
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+ similarities = model.similarity(embeddings, embeddings)
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+ print(similarities.shape)
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+ ```
checkpoint-69/1_Pooling/config.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "word_embedding_dimension": 384,
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+ "pooling_mode_cls_token": false,
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+ "pooling_mode_mean_tokens": true,
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+ "pooling_mode_max_tokens": false,
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+ "pooling_mode_mean_sqrt_len_tokens": false,
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+ "pooling_mode_weightedmean_tokens": false,
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+ "pooling_mode_lasttoken": false,
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+ "include_prompt": true
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+ }
checkpoint-69/README.md ADDED
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+ ---
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+ tags:
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+ - sentence-transformers
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+ - sentence-similarity
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+ - feature-extraction
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+ - generated_from_trainer
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+ - dataset_size:182
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+ - loss:SoftmaxLoss
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+ base_model: sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
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+ widget:
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+ - source_sentence: 太陽
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+ sentences:
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+ - bright
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+ - natural
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+ - bright
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+ - source_sentence: 明るくない
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+ sentences:
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+ - cozy
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+ - cozy
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+ - bright
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+ - source_sentence: natural
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+ sentences:
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+ - natural
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+ - cozy
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+ - natural
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+ - source_sentence: sunlight
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+ sentences:
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+ - bright
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+ - natural
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+ - cozy
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+ - source_sentence: 日光
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+ sentences:
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+ - bright
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+ - cozy
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+ - natural
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+ pipeline_tag: sentence-similarity
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+ library_name: sentence-transformers
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+ ---
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+
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+ # SentenceTransformer based on sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
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+
42
+ This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2). It maps sentences & paragraphs to a 384-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
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+
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+ ## Model Details
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+
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+ ### Model Description
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+ - **Model Type:** Sentence Transformer
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+ - **Base model:** [sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2) <!-- at revision 86741b4e3f5cb7765a600d3a3d55a0f6a6cb443d -->
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+ - **Maximum Sequence Length:** 128 tokens
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+ - **Output Dimensionality:** 384 dimensions
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+ - **Similarity Function:** Cosine Similarity
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+ <!-- - **Training Dataset:** Unknown -->
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+ <!-- - **Language:** Unknown -->
54
+ <!-- - **License:** Unknown -->
55
+
56
+ ### Model Sources
57
+
58
+ - **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
59
+ - **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
60
+ - **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)
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+
62
+ ### Full Model Architecture
63
+
64
+ ```
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+ SentenceTransformer(
66
+ (0): Transformer({'max_seq_length': 128, 'do_lower_case': False}) with Transformer model: BertModel
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+ (1): Pooling({'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})
68
+ )
69
+ ```
70
+
71
+ ## Usage
72
+
73
+ ### Direct Usage (Sentence Transformers)
74
+
75
+ First install the Sentence Transformers library:
76
+
77
+ ```bash
78
+ pip install -U sentence-transformers
79
+ ```
80
+
81
+ Then you can load this model and run inference.
82
+ ```python
83
+ from sentence_transformers import SentenceTransformer
84
+
85
+ # Download from the 🤗 Hub
86
+ model = SentenceTransformer("sentence_transformers_model_id")
87
+ # Run inference
88
+ sentences = [
89
+ '日光',
90
+ 'natural',
91
+ 'bright',
92
+ ]
93
+ embeddings = model.encode(sentences)
94
+ print(embeddings.shape)
95
+ # [3, 384]
96
+
97
+ # Get the similarity scores for the embeddings
98
+ similarities = model.similarity(embeddings, embeddings)
99
+ print(similarities.shape)
100
+ # [3, 3]
101
+ ```
102
+
103
+ <!--
104
+ ### Direct Usage (Transformers)
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+
106
+ <details><summary>Click to see the direct usage in Transformers</summary>
107
+
108
+ </details>
109
+ -->
110
+
111
+ <!--
112
+ ### Downstream Usage (Sentence Transformers)
113
+
114
+ You can finetune this model on your own dataset.
115
+
116
+ <details><summary>Click to expand</summary>
117
+
118
+ </details>
119
+ -->
120
+
121
+ <!--
122
+ ### Out-of-Scope Use
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+
124
+ *List how the model may foreseeably be misused and address what users ought not to do with the model.*
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+ -->
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+
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+ <!--
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+ ## Bias, Risks and Limitations
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+
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+ *What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
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+ -->
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+
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+ <!--
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+ ### Recommendations
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+
136
+ *What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
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+ -->
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+
139
+ ## Training Details
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+
141
+ ### Training Dataset
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+
143
+ #### Unnamed Dataset
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+
145
+
146
+ * Size: 182 training samples
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+ * Columns: <code>premise</code>, <code>hypothesis</code>, and <code>label</code>
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+ * Approximate statistics based on the first 182 samples:
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+ | | premise | hypothesis | label |
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+ |:--------|:---------------------------------------------------------------------------------|:--------------------------------------------------------------------------------|:------------------------------------------------|
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+ | type | string | string | int |
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+ | details | <ul><li>min: 3 tokens</li><li>mean: 5.39 tokens</li><li>max: 10 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 3.36 tokens</li><li>max: 4 tokens</li></ul> | <ul><li>0: ~25.27%</li><li>1: ~74.73%</li></ul> |
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+ * Samples:
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+ | premise | hypothesis | label |
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+ |:----------------------|:--------------------|:---------------|
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+ | <code>bright</code> | <code>bright</code> | <code>1</code> |
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+ | <code>luminous</code> | <code>bright</code> | <code>1</code> |
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+ | <code>well-lit</code> | <code>bright</code> | <code>1</code> |
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+ * Loss: [<code>SoftmaxLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#softmaxloss)
160
+
161
+ ### Evaluation Dataset
162
+
163
+ #### Unnamed Dataset
164
+
165
+
166
+ * Size: 182 evaluation samples
167
+ * Columns: <code>premise</code>, <code>hypothesis</code>, and <code>label</code>
168
+ * Approximate statistics based on the first 182 samples:
169
+ | | premise | hypothesis | label |
170
+ |:--------|:---------------------------------------------------------------------------------|:--------------------------------------------------------------------------------|:------------------------------------------------|
171
+ | type | string | string | int |
172
+ | details | <ul><li>min: 3 tokens</li><li>mean: 5.39 tokens</li><li>max: 10 tokens</li></ul> | <ul><li>min: 3 tokens</li><li>mean: 3.36 tokens</li><li>max: 4 tokens</li></ul> | <ul><li>0: ~25.27%</li><li>1: ~74.73%</li></ul> |
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+ * Samples:
174
+ | premise | hypothesis | label |
175
+ |:----------------------|:--------------------|:---------------|
176
+ | <code>bright</code> | <code>bright</code> | <code>1</code> |
177
+ | <code>luminous</code> | <code>bright</code> | <code>1</code> |
178
+ | <code>well-lit</code> | <code>bright</code> | <code>1</code> |
179
+ * Loss: [<code>SoftmaxLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#softmaxloss)
180
+
181
+ ### Training Hyperparameters
182
+ #### Non-Default Hyperparameters
183
+
184
+ - `eval_strategy`: epoch
185
+ - `per_device_eval_batch_size`: 16
186
+ - `learning_rate`: 3e-05
187
+ - `warmup_ratio`: 0.1
188
+ - `fp16`: True
189
+ - `load_best_model_at_end`: True
190
+ - `ddp_find_unused_parameters`: False
191
+
192
+ #### All Hyperparameters
193
+ <details><summary>Click to expand</summary>
194
+
195
+ - `overwrite_output_dir`: False
196
+ - `do_predict`: False
197
+ - `eval_strategy`: epoch
198
+ - `prediction_loss_only`: True
199
+ - `per_device_train_batch_size`: 8
200
+ - `per_device_eval_batch_size`: 16
201
+ - `per_gpu_train_batch_size`: None
202
+ - `per_gpu_eval_batch_size`: None
203
+ - `gradient_accumulation_steps`: 1
204
+ - `eval_accumulation_steps`: None
205
+ - `torch_empty_cache_steps`: None
206
+ - `learning_rate`: 3e-05
207
+ - `weight_decay`: 0.0
208
+ - `adam_beta1`: 0.9
209
+ - `adam_beta2`: 0.999
210
+ - `adam_epsilon`: 1e-08
211
+ - `max_grad_norm`: 1.0
212
+ - `num_train_epochs`: 3
213
+ - `max_steps`: -1
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+ - `lr_scheduler_type`: linear
215
+ - `lr_scheduler_kwargs`: {}
216
+ - `warmup_ratio`: 0.1
217
+ - `warmup_steps`: 0
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+ - `log_level`: passive
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+ - `log_level_replica`: warning
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+ - `log_on_each_node`: True
221
+ - `logging_nan_inf_filter`: True
222
+ - `save_safetensors`: True
223
+ - `save_on_each_node`: False
224
+ - `save_only_model`: False
225
+ - `restore_callback_states_from_checkpoint`: False
226
+ - `no_cuda`: False
227
+ - `use_cpu`: False
228
+ - `use_mps_device`: False
229
+ - `seed`: 42
230
+ - `data_seed`: None
231
+ - `jit_mode_eval`: False
232
+ - `use_ipex`: False
233
+ - `bf16`: False
234
+ - `fp16`: True
235
+ - `fp16_opt_level`: O1
236
+ - `half_precision_backend`: auto
237
+ - `bf16_full_eval`: False
238
+ - `fp16_full_eval`: False
239
+ - `tf32`: None
240
+ - `local_rank`: 0
241
+ - `ddp_backend`: None
242
+ - `tpu_num_cores`: None
243
+ - `tpu_metrics_debug`: False
244
+ - `debug`: []
245
+ - `dataloader_drop_last`: False
246
+ - `dataloader_num_workers`: 0
247
+ - `dataloader_prefetch_factor`: None
248
+ - `past_index`: -1
249
+ - `disable_tqdm`: False
250
+ - `remove_unused_columns`: True
251
+ - `label_names`: None
252
+ - `load_best_model_at_end`: True
253
+ - `ignore_data_skip`: False
254
+ - `fsdp`: []
255
+ - `fsdp_min_num_params`: 0
256
+ - `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
257
+ - `fsdp_transformer_layer_cls_to_wrap`: None
258
+ - `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
259
+ - `deepspeed`: None
260
+ - `label_smoothing_factor`: 0.0
261
+ - `optim`: adamw_torch
262
+ - `optim_args`: None
263
+ - `adafactor`: False
264
+ - `group_by_length`: False
265
+ - `length_column_name`: length
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+ - `ddp_find_unused_parameters`: False
267
+ - `ddp_bucket_cap_mb`: None
268
+ - `ddp_broadcast_buffers`: False
269
+ - `dataloader_pin_memory`: True
270
+ - `dataloader_persistent_workers`: False
271
+ - `skip_memory_metrics`: True
272
+ - `use_legacy_prediction_loop`: False
273
+ - `push_to_hub`: False
274
+ - `resume_from_checkpoint`: None
275
+ - `hub_model_id`: None
276
+ - `hub_strategy`: every_save
277
+ - `hub_private_repo`: None
278
+ - `hub_always_push`: False
279
+ - `gradient_checkpointing`: False
280
+ - `gradient_checkpointing_kwargs`: None
281
+ - `include_inputs_for_metrics`: False
282
+ - `include_for_metrics`: []
283
+ - `eval_do_concat_batches`: True
284
+ - `fp16_backend`: auto
285
+ - `push_to_hub_model_id`: None
286
+ - `push_to_hub_organization`: None
287
+ - `mp_parameters`:
288
+ - `auto_find_batch_size`: False
289
+ - `full_determinism`: False
290
+ - `torchdynamo`: None
291
+ - `ray_scope`: last
292
+ - `ddp_timeout`: 1800
293
+ - `torch_compile`: False
294
+ - `torch_compile_backend`: None
295
+ - `torch_compile_mode`: None
296
+ - `dispatch_batches`: None
297
+ - `split_batches`: None
298
+ - `include_tokens_per_second`: False
299
+ - `include_num_input_tokens_seen`: False
300
+ - `neftune_noise_alpha`: None
301
+ - `optim_target_modules`: None
302
+ - `batch_eval_metrics`: False
303
+ - `eval_on_start`: False
304
+ - `use_liger_kernel`: False
305
+ - `eval_use_gather_object`: False
306
+ - `average_tokens_across_devices`: False
307
+ - `prompts`: None
308
+ - `batch_sampler`: batch_sampler
309
+ - `multi_dataset_batch_sampler`: proportional
310
+
311
+ </details>
312
+
313
+ ### Training Logs
314
+ | Epoch | Step | Training Loss | Validation Loss |
315
+ |:------:|:----:|:-------------:|:---------------:|
316
+ | 0.1739 | 4 | 0.7869 | - |
317
+ | 0.3478 | 8 | 0.7022 | - |
318
+ | 0.5217 | 12 | 0.6482 | - |
319
+ | 0.6957 | 16 | 0.5571 | - |
320
+ | 0.8696 | 20 | 0.5698 | - |
321
+ | 1.0 | 23 | - | 0.5250 |
322
+ | 1.0435 | 24 | 0.4771 | - |
323
+ | 1.2174 | 28 | 0.444 | - |
324
+ | 1.3913 | 32 | 0.6149 | - |
325
+ | 1.5652 | 36 | 0.5523 | - |
326
+ | 1.7391 | 40 | 0.4806 | - |
327
+ | 1.9130 | 44 | 0.4623 | - |
328
+ | 2.0 | 46 | - | 0.4654 |
329
+ | 2.0870 | 48 | 0.4039 | - |
330
+ | 2.2609 | 52 | 0.47 | - |
331
+ | 2.4348 | 56 | 0.3878 | - |
332
+ | 2.6087 | 60 | 0.5158 | - |
333
+ | 2.7826 | 64 | 0.5203 | - |
334
+ | 2.9565 | 68 | 0.4446 | - |
335
+ | 3.0 | 69 | - | 0.4412 |
336
+
337
+
338
+ ### Framework Versions
339
+ - Python: 3.10.16
340
+ - Sentence Transformers: 3.3.1
341
+ - Transformers: 4.48.0
342
+ - PyTorch: 2.4.0
343
+ - Accelerate: 1.2.1
344
+ - Datasets: 3.2.0
345
+ - Tokenizers: 0.21.0
346
+
347
+ ## Citation
348
+
349
+ ### BibTeX
350
+
351
+ #### Sentence Transformers and SoftmaxLoss
352
+ ```bibtex
353
+ @inproceedings{reimers-2019-sentence-bert,
354
+ title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
355
+ author = "Reimers, Nils and Gurevych, Iryna",
356
+ booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
357
+ month = "11",
358
+ year = "2019",
359
+ publisher = "Association for Computational Linguistics",
360
+ url = "https://arxiv.org/abs/1908.10084",
361
+ }
362
+ ```
363
+
364
+ <!--
365
+ ## Glossary
366
+
367
+ *Clearly define terms in order to be accessible across audiences.*
368
+ -->
369
+
370
+ <!--
371
+ ## Model Card Authors
372
+
373
+ *Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
374
+ -->
375
+
376
+ <!--
377
+ ## Model Card Contact
378
+
379
+ *Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
380
+ -->
checkpoint-69/config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2",
3
+ "architectures": [
4
+ "BertModel"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "gradient_checkpointing": false,
9
+ "hidden_act": "gelu",
10
+ "hidden_dropout_prob": 0.1,
11
+ "hidden_size": 384,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 1536,
14
+ "layer_norm_eps": 1e-12,
15
+ "max_position_embeddings": 512,
16
+ "model_type": "bert",
17
+ "num_attention_heads": 12,
18
+ "num_hidden_layers": 12,
19
+ "pad_token_id": 0,
20
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