Upload folder using huggingface_hub
Browse files- .gitattributes +4 -0
- 1_Pooling/config.json +10 -0
- README.md +64 -0
- checkpoint-49115/1_Pooling/config.json +10 -0
- checkpoint-49115/README.md +0 -0
- checkpoint-49115/config.json +26 -0
- checkpoint-49115/config_sentence_transformers.json +10 -0
- checkpoint-49115/model.safetensors +3 -0
- checkpoint-49115/modules.json +14 -0
- checkpoint-49115/optimizer.pt +3 -0
- checkpoint-49115/rng_state.pth +3 -0
- checkpoint-49115/scheduler.pt +3 -0
- checkpoint-49115/sentence_bert_config.json +4 -0
- checkpoint-49115/special_tokens_map.json +51 -0
- checkpoint-49115/tokenizer.json +3 -0
- checkpoint-49115/tokenizer_config.json +64 -0
- checkpoint-49115/trainer_state.json +0 -0
- checkpoint-49115/training_args.bin +3 -0
- checkpoint-49115/unigram.json +3 -0
- config.json +26 -0
- config_sentence_transformers.json +10 -0
- model.safetensors +3 -0
- modules.json +14 -0
- runs/Jun20_16-41-52_be3fdde088e8/events.out.tfevents.1718901714.be3fdde088e8.4152.0 +2 -2
- runs/Jun20_16-41-52_be3fdde088e8/events.out.tfevents.1718906359.be3fdde088e8.4152.1 +3 -0
- sentence_bert_config.json +4 -0
- special_tokens_map.json +51 -0
- tokenizer.json +3 -0
- tokenizer_config.json +64 -0
- training_args.bin +3 -0
- training_params.json +33 -0
- unigram.json +3 -0
.gitattributes
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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-49115/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-49115/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
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1_Pooling/config.json
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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_weightedmean_tokens": false,
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"pooling_mode_lasttoken": false,
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"include_prompt": true
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}
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README.md
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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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datasets:
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- Omartificial-Intelligence-Space/Arabic-NLi-Pair
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---
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# Model Trained Using AutoTrain
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- Problem type: Sentence Transformers
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## Validation Metrics
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loss: 0.08259893208742142
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runtime: 7.0833
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samples_per_second: 961.137
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steps_per_second: 15.106
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: 5.0
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## Usage
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### Direct Usage (Sentence Transformers)
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First install the Sentence Transformers library:
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```bash
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pip install -U sentence-transformers
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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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# 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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# 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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```
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checkpoint-49115/1_Pooling/config.json
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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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}
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checkpoint-49115/README.md
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checkpoint-49115/config.json
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{
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"_name_or_path": "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2",
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"architectures": [
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"BertModel"
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],
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"attention_probs_dropout_prob": 0.1,
|
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"classifier_dropout": null,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
|
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"hidden_size": 384,
|
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"initializer_range": 0.02,
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|
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"layer_norm_eps": 1e-12,
|
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"max_position_embeddings": 512,
|
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"model_type": "bert",
|
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"num_attention_heads": 12,
|
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"num_hidden_layers": 12,
|
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"pad_token_id": 0,
|
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
|
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"transformers_version": "4.41.2",
|
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"type_vocab_size": 2,
|
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"use_cache": true,
|
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"vocab_size": 250037
|
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}
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checkpoint-49115/config_sentence_transformers.json
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{
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"__version__": {
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"sentence_transformers": "3.0.1",
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"transformers": "4.41.2",
|
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"pytorch": "2.3.0+cu121"
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"prompts": {},
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"default_prompt_name": null,
|
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"similarity_fn_name": null
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}
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checkpoint-49115/model.safetensors
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checkpoint-49115/modules.json
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checkpoint-49115/optimizer.pt
ADDED
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checkpoint-49115/rng_state.pth
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checkpoint-49115/scheduler.pt
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checkpoint-49115/sentence_bert_config.json
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{
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checkpoint-49115/special_tokens_map.json
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checkpoint-49115/tokenizer.json
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checkpoint-49115/tokenizer_config.json
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