|
--- |
|
license: apache-2.0 |
|
modelId: unique-model-identifier |
|
tags: |
|
- conversational |
|
- gpt2 |
|
language: en |
|
base_model: gpt2 |
|
model-index: |
|
- name: GPT2_Conversational_Bot |
|
results: [] |
|
datasets: |
|
- Kiran2004/MentalHealthConversations |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
## Model description |
|
|
|
This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/gpt2) on an [MentalHealthConversational](https://huggingface.co/datasets/Kiran2004/MentalHealthConversations) dataset. |
|
It is designed to generate text based on provided depression related prompts and can be used for a variety of natural language generation tasks. |
|
It's been trained on question-answer pairs, including unanswerable questions, for the task of Depression related Conversations for 10 Epochs and obtained following loss: |
|
- Training Loss: 1.6727 |
|
|
|
## Model Training |
|
|
|
- **Training Dataset**: [MentalHealthConversational Dataset](https://huggingface.co/datasets/Kiran2004/MentalHealthConversations) |
|
- **Pretrained Model**: [GPT-2](https://huggingface.co/gpt2) |
|
|
|
## Evaluation |
|
|
|
The model's performance can be evaluated using various metrics such as F1 score, BLEU score, and ROUGE score. |
|
- F1 Score: 0.0908 |
|
- BLEU Score: 2.910400064753437e-05 |
|
- ROUGE Score: 0.1498 |
|
|
|
## Example Usage |
|
|
|
```python |
|
from transformers import pipeline, GPT2Tokenizer, GPT2LMHeadModel |
|
|
|
# Load tokenizer and model |
|
model_name = "Kiran2004/GPT2_MentalHealth_ChatBot" |
|
tokenizer = GPT2Tokenizer.from_pretrained(model_name) |
|
model = GPT2LMHeadModel.from_pretrained(model_name) |
|
|
|
# Generate text |
|
generator = pipeline("text-generation", model=model, tokenizer=tokenizer) |
|
prompt = "Your prompt goes here" |
|
output = generator(prompt, max_length=50, num_return_sequences=1) |
|
print(output[0]["generated_text"]) |
|
``` |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 0.0001 |
|
- train_batch_size: 3 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10 |
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.2 |
|
- Pytorch 2.2.1+cu121 |
|
- Tokenizers 0.15.2 |
