Mihaiii / test34

SentenceTransformer based on Mihaiii/Venusaur

This is a sentence-transformers model finetuned from Mihaiii/Venusaur on the Mihaiii/qa-assistant-2 dataset. 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.

Model Details

Model Description

• Model Type: Sentence Transformer
• Base model: Mihaiii/Venusaur
• Maximum Sequence Length: 512 tokens
• Output Dimensionality: 384 tokens
• Similarity Function: Cosine Similarity
• Training Dataset:
  • Mihaiii/qa-assistant-2
• Language: en

Model Sources

• Documentation: Sentence Transformers Documentation
• Repository: Sentence Transformers on GitHub
• Hugging Face: Sentence Transformers on Hugging Face

Full Model Architecture

SentenceTransformer(
  (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel 
  (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})
)

Usage

Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

pip install -U sentence-transformers

Then you can load this model and run inference.

from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("sentence_transformers_model_id")
# Run inference
sentences = [
    'What are the social structures of ants?',
    'The social hierarchy of ants is a complex system that ensures the survival and efficiency of the colony.',
    'In a parliamentary system, the executive branch derives its legitimacy from and is accountable to the legislature; the executive and legislative branches are thus interconnected.',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 384]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]

Evaluation

Metrics

Semantic Similarity

• Dataset: sts-dev
• Evaluated with EmbeddingSimilarityEvaluator

Training Details

Training Dataset

Mihaiii/qa-assistant-2

• Dataset: Mihaiii/qa-assistant-2 at 9650e69
• Size: 16,011 training samples
• Columns: question , answer , and score
• Approximate statistics based on the first 1000 samples:

  	question	answer	score
  type	string	string	float
  details	min: 6 tokens mean: 12.73 tokens max: 27 tokens	min: 10 tokens mean: 22.42 tokens max: 65 tokens	min: 0.02 mean: 0.53 max: 1.0

• Samples:

  question	answer	score
  Can you describe the process of robot path planning?	Robots can be programmed to perform a variety of tasks, from simple repetitive actions to complex decision-making processes.	0.27999999999999997
  Can humans live on Mars?	Mars is the fourth planet from the Sun and is often called the Red Planet due to its reddish appearance.	0.16
  What are the key elements of composition in abstract art?	The history of abstract art dates back to the early 20th century, with pioneers like Wassily Kandinsky and Piet Mondrian.	0.36

• Loss: CosineSimilarityLoss with these parameters:

  {
      "loss_fct": "torch.nn.modules.loss.MSELoss"
  }
  

Evaluation Dataset

Mihaiii/qa-assistant-2

• Dataset: Mihaiii/qa-assistant-2 at 9650e69
• Size: 3,879 evaluation samples
• Columns: question , answer , and score
• Approximate statistics based on the first 1000 samples:

  	question	answer	score
  type	string	string	float
  details	min: 7 tokens mean: 12.71 tokens max: 31 tokens	min: 10 tokens mean: 22.63 tokens max: 51 tokens	min: 0.02 mean: 0.53 max: 1.0

• Samples:

  question	answer	score
  What is the concept of social stratification?	The study of social stratification involves examining the inequalities and divisions within a society.	0.6799999999999999
  How does J.K. Rowling develop the character of Hermione Granger throughout the 'Harry Potter' series?	The 'Harry Potter' series consists of seven books, starting with 'Harry Potter and the Philosopher's Stone' and ending with 'Harry Potter and the Deathly Hallows'.	0.22000000000000003
  What is the parliamentary system and how does it function?	In a parliamentary system, the government can be dissolved by a vote of no confidence, which can lead to new elections.	0.6799999999999999

• Loss: CosineSimilarityLoss with these parameters:

  {
      "loss_fct": "torch.nn.modules.loss.MSELoss"
  }
  

Training Hyperparameters

Non-Default Hyperparameters

• eval_strategy : steps
• per_device_train_batch_size : 16
• per_device_eval_batch_size : 16
• num_train_epochs : 100
• warmup_ratio : 0.1

All Hyperparameters

Training Logs

Framework Versions

• Python: 3.10.12
• Sentence Transformers: 3.0.1
• Transformers: 4.41.2
• PyTorch: 2.0.1+cu118
• Accelerate: 0.31.0
• Datasets: 2.20.0
• Tokenizers: 0.19.1

Citation

BibTeX

Sentence Transformers

@inproceedings{reimers-2019-sentence-bert,
    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
    author = "Reimers, Nils and Gurevych, Iryna",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
    month = "11",
    year = "2019",
    publisher = "Association for Computational Linguistics",
    url = "https://arxiv.org/abs/1908.10084",
}