Add SetFit model
Browse files- README.md +8 -16
- config.json +10 -77
- tokenizer_config.json +1 -1
README.md
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---
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pipeline_tag:
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tags:
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- sentence-transformers
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metrics:
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- accuracy
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- precision
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- recall
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---
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# {MODEL_NAME}
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This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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`torch.utils.data.dataloader.DataLoader` of length 14756 with parameters:
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```
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{
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"candidate_labels": ['atmosphere', 'beer list', 'bottomless brunch', 'breakfast', 'brunch', 'business', 'byob', 'casual', 'date night', 'delivery', 'fine dining', 'gluten free', 'good value', 'great cocktails', 'great service', 'happy hour', 'healthy', 'instagrammable', 'kid friendly', 'large groups', 'late night', 'live music', 'lunch', 'night out', 'outdoor seating', 'quick', 'romantic', 'rooftop', 'small plates', 'special event', 'sports/tvs', 'takeout', 'tasting menu', 'vegetarian', 'walk-in', 'wine list'],
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'batch_size': 4, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
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```
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**Loss**:
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Parameters of the fit()-Method:
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```
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{
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"
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"candidate_labels": ['atmosphere', 'beer list', 'bottomless brunch', 'breakfast', 'brunch', 'business', 'byob', 'casual', 'date night', 'delivery', 'fine dining', 'gluten free', 'good value', 'great cocktails', 'great service', 'happy hour', 'healthy', 'instagrammable', 'kid friendly', 'large groups', 'late night', 'live music', 'lunch', 'night out', 'outdoor seating', 'quick', 'romantic', 'rooftop', 'small plates', 'special event', 'sports/tvs', 'takeout', 'tasting menu', 'vegetarian', 'walk-in', 'wine list'],
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"epochs": 3,
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"evaluation_steps": 0,
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"evaluator": "NoneType",
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"max_grad_norm": 1,
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---
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pipeline_tag: sentence-similarity
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tags:
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- sentence-transformers
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- feature-extraction
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- sentence-similarity
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- transformers
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---
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# {MODEL_NAME}
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This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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`torch.utils.data.dataloader.DataLoader` of length 14756 with parameters:
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```
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{'batch_size': 4, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
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```
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**Loss**:
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Parameters of the fit()-Method:
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```
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{
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"epochs": 1,
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"evaluation_steps": 0,
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"evaluator": "NoneType",
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"max_grad_norm": 1,
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config.json
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{
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"_name_or_path": "/
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"_num_labels":
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"add_final_layer_norm": false,
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"multi_target_strategy": "multi-output",
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"architectures": [
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"BartModel"
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],
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"forced_eos_token_id": 2,
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"gradient_checkpointing": false,
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"id2label": {
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"0": "
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"1": "
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"2": "
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"3": "breakfast",
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"4": "brunch",
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"5": "business",
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"6": "byob",
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"7": "casual",
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"8": "date night",
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"9": "delivery",
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"10": "fine dining",
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"11": "gluten free",
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"12": "good value",
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"13": "great cocktails",
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"14": "great service",
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"15": "happy hour",
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"16": "healthy",
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"17": "instagrammable",
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"18": "kid friendly",
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"19": "large groups",
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"20": "late night",
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"21": "live music",
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"22": "lunch",
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"23": "night out",
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"24": "outdoor seating",
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"25": "quick",
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"26": "romantic",
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"27": "rooftop",
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"28": "small plates",
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"29": "special event",
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"30": "sports/tvs",
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"31": "takeout",
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"32": "tasting menu",
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"33": "vegetarian",
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"34": "walk-in",
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"35": "wine list"
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},
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"init_std": 0.02,
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"is_encoder_decoder": true,
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"
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"
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"
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"breakfast": 3,
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"brunch": 4,
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"business": 5,
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"byob": 6,
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"casual": 7,
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"date night": 8,
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"delivery": 9,
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"fine dining": 10,
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"gluten free": 11,
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"good value": 12,
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"great cocktails": 13,
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"great service": 14,
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"happy hour": 15,
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"healthy": 16,
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"instagrammable": 17,
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"kid friendly": 18,
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"large groups": 19,
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"late night": 20,
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"live music": 21,
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"lunch": 22,
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"night out": 23,
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"outdoor seating": 24,
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"quick": 25,
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"romantic": 26,
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"rooftop": 27,
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"small plates": 28,
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"special event": 29,
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"sports/tvs": 30,
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"takeout": 31,
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"tasting menu": 32,
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"vegetarian": 33,
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"walk-in": 34,
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"wine list": 35
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},
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"max_position_embeddings": 1024,
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"model_type": "bart",
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"transformers_version": "4.26.0",
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"use_cache": true,
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"vocab_size": 50265
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}
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{
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"_name_or_path": "/content/drive/MyDrive/ML-Files/Relabel_Jan_18_2023/temp/models_fewshot_3/",
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"_num_labels": 3,
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"add_final_layer_norm": false,
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"architectures": [
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"BartModel"
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],
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"forced_eos_token_id": 2,
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"gradient_checkpointing": false,
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"id2label": {
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"0": "contradiction",
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"1": "neutral",
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"2": "entailment"
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},
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"init_std": 0.02,
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"is_encoder_decoder": true,
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"label2id": {
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"contradiction": 0,
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"entailment": 2,
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"neutral": 1
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},
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"max_position_embeddings": 1024,
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"model_type": "bart",
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"transformers_version": "4.26.0",
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"use_cache": true,
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"vocab_size": 50265
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}
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tokenizer_config.json
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"errors": "replace",
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"mask_token": "<mask>",
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"model_max_length": 1024,
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"name_or_path": "/
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"special_tokens_map_file": null,
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"errors": "replace",
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"mask_token": "<mask>",
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"model_max_length": 1024,
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"name_or_path": "/content/drive/MyDrive/ML-Files/Relabel_Jan_18_2023/temp/models_fewshot_3/",
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"special_tokens_map_file": null,
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