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  library_name: transformers
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- tags: []
 
 
 
 
 
 
 
 
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- # Model Card for Model ID
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- <!-- Provide a quick summary of what the model is/does. -->
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- ## Model Details
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- ### Model Description
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- <!-- Provide a longer summary of what this model is. -->
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- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- - **Developed by:** [More Information Needed]
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- - **Funded by [optional]:** [More Information Needed]
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- - **Shared by [optional]:** [More Information Needed]
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- - **Model type:** [More Information Needed]
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- - **Language(s) (NLP):** [More Information Needed]
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- - **License:** [More Information Needed]
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- - **Finetuned from model [optional]:** [More Information Needed]
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- ### Model Sources [optional]
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- <!-- Provide the basic links for the model. -->
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- - **Repository:** [More Information Needed]
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- - **Paper [optional]:** [More Information Needed]
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- - **Demo [optional]:** [More Information Needed]
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- ## Uses
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- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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- ### Direct Use
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- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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- [More Information Needed]
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- ### Downstream Use [optional]
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- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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- [More Information Needed]
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- ### Out-of-Scope Use
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- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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- [More Information Needed]
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- ## Bias, Risks, and Limitations
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- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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- [More Information Needed]
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- ### Recommendations
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- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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- ## How to Get Started with the Model
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- Use the code below to get started with the model.
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- [More Information Needed]
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- ## Training Details
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- ### Training Data
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- <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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- [More Information Needed]
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- ### Training Procedure
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- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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- #### Preprocessing [optional]
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- [More Information Needed]
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- #### Training Hyperparameters
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- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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- #### Speeds, Sizes, Times [optional]
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- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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- [More Information Needed]
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- ## Evaluation
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- <!-- This section describes the evaluation protocols and provides the results. -->
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- ### Testing Data, Factors & Metrics
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- #### Testing Data
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- <!-- This should link to a Dataset Card if possible. -->
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- [More Information Needed]
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- #### Factors
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- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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- [More Information Needed]
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- #### Metrics
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- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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- [More Information Needed]
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- ### Results
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- [More Information Needed]
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- #### Summary
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- ## Model Examination [optional]
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- <!-- Relevant interpretability work for the model goes here -->
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- [More Information Needed]
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- ## Environmental Impact
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- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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- Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- - **Hardware Type:** [More Information Needed]
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- - **Hours used:** [More Information Needed]
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- - **Cloud Provider:** [More Information Needed]
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- - **Compute Region:** [More Information Needed]
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- - **Carbon Emitted:** [More Information Needed]
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- ## Technical Specifications [optional]
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- ### Model Architecture and Objective
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- [More Information Needed]
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- ### Compute Infrastructure
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- [More Information Needed]
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- #### Hardware
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- [More Information Needed]
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- #### Software
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- [More Information Needed]
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- ## Citation [optional]
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- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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  **BibTeX:**
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- [More Information Needed]
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- **APA:**
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- [More Information Needed]
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- ## Glossary [optional]
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- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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- [More Information Needed]
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- ## More Information [optional]
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- [More Information Needed]
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- ## Model Card Authors [optional]
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- [More Information Needed]
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- ## Model Card Contact
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- [More Information Needed]
 
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  ---
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  library_name: transformers
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+ license: mit
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+ language:
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+ - en
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+ base_model:
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+ - google-bert/bert-base-uncased
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+ pipeline_tag: text-classification
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+ tags:
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+ - PyTorch
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+ - multi-class-classification
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  ---
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+ This is Bert-base-uncased model fine-tuned for topic classification of therapist remarks in psychotherapeutic contexts. The task is a multi-class classification with the following labels:
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+ ```python
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+ id2label = {0: 'Others',
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+ 1: 'Relationship with a Female Figure',
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+ 2: 'Experiencing and Articulating Emotions',
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+ 3: 'Work and Personal Fulfillment',
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+ 4: 'Relationship with a Male Figure',
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+ 5: 'Meaning-Making and Conceptualization',
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+ 6: 'Education and Personal Development',
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+ 7: 'Experience of Fear and Anxiety',
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+ 8: 'Sexual Relationships and Identity',
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+ 9: 'Expression and Communication Difficulties',
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+ 10: 'Self-Acceptance and Social Relationships',
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+ 11: 'Time Perception and Management',
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+ 12: 'Cyclical Patterns of Experience',
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+ 13: 'Therapy Experience and Reflection',
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+ 14: 'Positive Emotional Experience',
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+ 15: 'Mother-Child Relationship Dynamics',
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+ 16: 'Creativity and Emotional Expression',
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+ 17: 'Humor and Cognitive Reframing',
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+ 18: 'Emotional Disturbance and Regulation',
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+ 19: 'Expressions of Certainty',
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+ 20: 'Guilt and Responsibility',
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+ 21: 'Self-Reflection on Maturity',
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+ 22: 'Sleep-Wake Cycle and Daily Rhythm',
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+ 23: 'Life Orientation and Authenticity',
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+ 24: 'Home and Attachment-Autonomy Conflict',
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+ 25: 'Parenting and Family Responsibility',
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+ 26: 'Internal Conflict and Emotional Regulation',
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+ 27: 'Friendship Dynamics',
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+ 28: 'Reflection and Awareness of Unconsidered Thought',
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+ 29: 'Reading as Cognitive and Reflective Engagement',
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+ 30: 'Processes of Personal Change',
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+ 31: 'Emotional Pain and Hurt',
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+ 32: 'Belief, Faith, and Existential Doubt',
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+ 33: 'Evaluation of Neurotic and Healthy States',
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+ 34: 'Emotional Distress and Negative Evaluation',
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+ 35: 'Experience and Regulation of Anger',
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+ 36: 'Positive Emotional Evaluation',
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+ 37: 'Dream Experience and Symbolic Processing',
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+ 38: 'Father-Child Relationship Dynamics',
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+ 39: 'Problem Framing and Self-Resolution',
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+ 40: 'Personal Learning Experiences',
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+ 41: 'Racial Identity and Intergroup Relations',
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+ 42: 'Healthcare Interactions and Medical Authority',
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+ 43: 'Uncertainty about Correctness',
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+ 44: 'Evaluation of Marriage',
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+ 45: 'Marital Relationship and Communication',
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+ 46: 'Self-Worth and Capacity for Love',
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+ 47: 'Self-Expression Through Appearance'}
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+ ```
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+
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+
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+ ## Usage
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+
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+ ```python
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+ from transformers import AutoTokenizer, AutoModelForSequenceClassification
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+
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+ tokenizer = AutoTokenizer.from_pretrained("AIPsy/bert-base-client-topic-classification-eng")
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+ model = AutoModelForSequenceClassification.from_pretrained("AIPsy/bert-base-client-topic-classification-eng")
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+
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+ text = "You know, I mean, it seems like you could just go to work and feel so much better."
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+
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+ encoding = tokenizer(
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+ text,
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+ truncation=True,
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+ padding="max_length",
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+ return_tensors="pt"
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+ )
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+ output = model(encoding['input_ids'], encoding['attention_mask']).logits
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+ result = np.argmax(output.detach().numpy(), axis=-1)
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+ print(id2label[result[0]])
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+ 'Job Anxiety and Self-Reflection'
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+ ```
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+
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+ ## Dataset
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+
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+ The source material was the recordings of psychotherapeutic sessions posted on YouTube in the public domain. After conducting speaker diarization and transcription of the recordings 15324 items (sentences) were obtained.
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+
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+ ## Recommendations
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+ Given the broad context of issues discussed in psychotherapeutic sessions, the authors believe that this model can be used to analyze human communication in general.
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+
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+ ## Metrics
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+
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+ Score metrics of trained model
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+ |Sample|F1 macro|
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+ |:-|:-:|
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+ |Test|0.76|
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+ |Validation|0.76|
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+ |Train|0.99|
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+
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+ F1 score metrics for test sample across categories
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+ |ID|Topic|Precision|Recall|F1|
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+ |:-:|:-|:-:|:-:|:-:|
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+ | 0 | Others | 0.92 | 0.98 | 0.95 |
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+ | 1 | Relationship with a Female Figure | 0.94 | 0.94 | 0.94 |
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+ | 2 | Experiencing and Articulating Emotions | 0.88 | 0.77 | 0.82 |
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+ | 3 | Work and Personal Fulfillment | 0.71 | 0.72 | 0.72 |
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+ | 4 | Relationship with a Male Figure | 0.90 | 0.92 | 0.91 |
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+ | 5 | Meaning-Making and Conceptualization | 0.69 | 0.80 | 0.74 |
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+ | 6 | Education and Personal Development | 0.84 | 0.85 | 0.85 |
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+ | 7 | Experience of Fear and Anxiety | 0.82 | 0.84 | 0.83 |
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+ | 8 | Sexual Relationships and Identity | 0.79 | 0.75 | 0.77 |
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+ | 9 | Expression and Communication Difficulties | 0.69 | 0.77 | 0.73 |
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+ | 10 | Self-Acceptance and Social Relationships | 0.67 | 0.69 | 0.68 |
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+ | 11 | Time Perception and Management | 0.82 | 0.75 | 0.79 |
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+ | 12 | Cyclical Patterns of Experience | 0.81 | 0.75 | 0.78 |
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+ | 13 | Therapy Experience and Reflection | 0.79 | 0.79 | 0.79 |
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+ | 14 | Positive Emotional Experience | 0.72 | 0.67 | 0.70 |
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+ | 15 | Mother-Child Relationship Dynamics | 0.81 | 0.74 | 0.77 |
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+ | 16 | Creativity and Emotional Expression | 0.78 | 0.72 | 0.75 |
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+ | 17 | Humor and Cognitive Reframing | 0.75 | 0.58 | 0.66 |
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+ | 18 | Emotional Disturbance and Regulation | 0.76 | 0.70 | 0.73 |
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+ | 19 | Expressions of Certainty | 0.86 | 0.90 | 0.88 |
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+ | 20 | Guilt and Responsibility | 0.65 | 0.74 | 0.70 |
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+ | 21 | Self-Reflection on Maturity | 0.64 | 0.65 | 0.64 |
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+ | 22 | Sleep-Wake Cycle and Daily Rhythm | 0.66 | 0.73 | 0.69 |
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+ | 23 | Life Orientation and Authenticity | 0.62 | 0.64 | 0.63 |
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+ | 24 | Home and Attachment-Autonomy Conflict | 0.91 | 0.69 | 0.79 |
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+ | 25 | Parenting and Family Responsibility | 0.83 | 0.73 | 0.78 |
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+ | 26 | Internal Conflict and Emotional Regulation | 0.74 | 0.80 | 0.77 |
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+ | 27 | Friendship Dynamics | 0.64 | 0.66 | 0.65 |
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+ | 28 | Reflection and Awareness of Unconsidered Thought | 0.69 | 0.79 | 0.74 |
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+ | 29 | Reading as Cognitive and Reflective Engagement | 0.74 | 0.81 | 0.78 |
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+ | 30 | Processes of Personal Change | 0.69 | 0.61 | 0.65 |
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+ | 31 | Emotional Pain and Hurt | 0.81 | 0.81 | 0.81 |
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+ | 32 | Belief, Faith, and Existential Doubt | 0.91 | 0.85 | 0.88 |
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+ | 33 | Evaluation of Neurotic and Healthy States | 0.62 | 0.77 | 0.69 |
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+ | 34 | Emotional Distress and Negative Evaluation | 0.66 | 0.69 | 0.67 |
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+ | 35 | Experience and Regulation of Anger | 0.76 | 0.76 | 0.76 |
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+ | 36 | Positive Emotional Evaluation | 0.67 | 0.70 | 0.68 |
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+ | 37 | Dream Experience and Symbolic Processing | 0.83 | 0.88 | 0.86 |
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+ | 38 | Father-Child Relationship Dynamics | 0.83 | 0.71 | 0.77 |
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+ | 39 | Problem Framing and Self-Resolution | 0.71 | 0.56 | 0.62 |
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+ | 40 | Personal Learning Experiences | 0.73 | 0.56 | 0.63 |
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+ | 41 | Racial Identity and Intergroup Relations | 0.73 | 0.92 | 0.81 |
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+ | 42 | Healthcare Interactions and Medical Authority | 0.76 | 0.83 | 0.79 |
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+ | 43 | Uncertainty about Correctness | 0.86 | 0.72 | 0.78 |
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+ | 44 | Evaluation of Marriage | 0.78 | 0.95 | 0.86 |
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+ | 45 | Marital Relationship and Communication | 0.81 | 0.85 | 0.83 |
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+ | 46 | Self-Worth and Capacity for Love | 0.77 | 0.74 | 0.76 |
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+ | 47 | Self-Expression Through Appearance | 0.68 | 0.63 | 0.65 |
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+
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+
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+
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+ ## Citation
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+
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+ - **Papers:** Vanin, A., Bolshev, V., & Panfilova, A. (2024). Applying LLM and Topic Modelling in Psychotherapeutic Contexts. ArXiv, abs/2412.17449. <https://arxiv.org/abs/2412.17449>
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+ - **Developed by:** @myentity, @VadZhen, @Alek123
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+ - **License:** MIT
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  **BibTeX:**
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+ ```
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+ @misc{vanin2024applyingllmtopicmodelling,
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+ title={Applying LLM and Topic Modelling in Psychotherapeutic Contexts},
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+ author={Alexander Vanin and Vadim Bolshev and Anastasia Panfilova},
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+ year={2024},
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+ eprint={2412.17449},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.LG},
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+ url={https://arxiv.org/abs/2412.17449},
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+ }
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+ ```