Upload Lex Fridman chatbot model
Browse files- README.md +140 -0
- checkpoint-965/config.json +38 -0
- checkpoint-965/generation_config.json +6 -0
- checkpoint-965/merges.txt +0 -0
- checkpoint-965/model.safetensors +3 -0
- checkpoint-965/optimizer.pt +3 -0
- checkpoint-965/rng_state.pth +3 -0
- checkpoint-965/scheduler.pt +3 -0
- checkpoint-965/special_tokens_map.json +24 -0
- checkpoint-965/tokenizer.json +0 -0
- checkpoint-965/tokenizer_config.json +23 -0
- checkpoint-965/trainer_state.json +184 -0
- checkpoint-965/training_args.bin +3 -0
- checkpoint-965/vocab.json +0 -0
- config.json +38 -0
- generation_config.json +6 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +23 -0
- training_args.bin +3 -0
- training_summary.json +11 -0
- vocab.json +0 -0
README.md
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---
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language: en
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license: mit
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tags:
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- conversational
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- chatbot
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- lex-fridman
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- dialogue
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- pytorch
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- transformers
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- fine-tuned
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base_model: microsoft/DialoGPT-medium
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datasets:
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- custom
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widget:
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- text: "Human: What do you think about artificial intelligence?\n\nLex:"
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example_title: "AI Discussion"
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- text: "Human: How do you approach difficult conversations?\n\nLex:"
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example_title: "Conversation Approach"
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- text: "Human: What's your view on the future of technology?\n\nLex:"
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example_title: "Future of Technology"
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---
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# Lex Fridman AI Chatbot
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This is a fine-tuned conversational AI model that mimics the conversational style of Lex Fridman, host of the Lex Fridman Podcast. The model was fine-tuned on podcast transcript data to capture Lex's thoughtful, philosophical, and engaging conversation style.
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## Model Details
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- **Base Model**: microsoft/DialoGPT-medium
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- **Model Type**: Conversational AI / Chatbot
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- **Language**: English
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- **Parameters**: ~117M
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- **Training Data**: Lex Fridman podcast transcripts
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- **Fine-tuning**: Custom dialogue dataset with Human-Lex conversation pairs
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## Training Details
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- **Training Examples**: 3,100
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- **Validation Examples**: 345
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- **Training Duration**: 0:20:30.474449
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- **Final Loss**: 4.1058
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- **Epochs**: 5
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- **Hardware**: NVIDIA A100 GPUs
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- **Framework**: PyTorch + Transformers
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## Usage
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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# Load model and tokenizer
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tokenizer = AutoTokenizer.from_pretrained("your-username/lex-fridman-chatbot")
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model = AutoModelForCausalLM.from_pretrained("your-username/lex-fridman-chatbot")
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# Generate response
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def chat_with_lex(question):
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prompt = f"Human: {question}\n\nLex:"
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inputs = tokenizer.encode(prompt, return_tensors="pt")
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with torch.no_grad():
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outputs = model.generate(
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inputs,
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max_length=inputs.shape[1] + 100,
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temperature=0.8,
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do_sample=True,
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top_p=0.9,
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pad_token_id=tokenizer.eos_token_id
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)
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response = tokenizer.decode(outputs[0], skip_special_tokens=True)
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return response.split("Lex:")[-1].strip()
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# Example usage
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response = chat_with_lex("What do you think about artificial intelligence?")
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print(response)
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```
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## Sample Conversations
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**Human**: What do you think about artificial intelligence?
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**Lex**: I think it's a big idea that we're seeing in the way computers are becoming self aware.
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**Human**: How do you approach difficult conversations?
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**Lex**: You approach them with your hands and you have a conversation with the viewer.
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## Web Interface
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This model comes with a beautiful Streamlit web interface for easy interaction:
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```bash
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streamlit run web_app/lex_chatbot_app.py
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```
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## Model Architecture
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- **Architecture**: GPT-2 based transformer (DialoGPT)
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- **Vocabulary Size**: 50,257 tokens
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- **Context Length**: 1024 tokens
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- **Precision**: FP16 for efficient inference
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- **Multi-GPU**: Supports distributed inference
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## Limitations and Biases
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- The model is trained on a limited dataset from podcast transcripts
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- May reflect biases present in the training data
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- Responses are generated based on patterns learned from transcripts
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- Not suitable for providing factual information or professional advice
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- Best used for casual conversation and entertainment
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## Ethical Considerations
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- This model is for educational and entertainment purposes
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- Does not represent the actual views or opinions of Lex Fridman
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- Should not be used to impersonate or misrepresent the real person
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- Users should be transparent about AI-generated content
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## Citation
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```bibtex
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@misc{lex-fridman-chatbot,
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title={Lex Fridman AI Chatbot},
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author={Your Name},
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year={2025},
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publisher={Hugging Face},
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url={https://huggingface.co/your-username/lex-fridman-chatbot}
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}
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```
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## License
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MIT License - See LICENSE file for details.
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## Acknowledgments
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- Lex Fridman for the inspiring podcast content
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- Microsoft for the DialoGPT base model
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- Hugging Face for the transformers library
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- The open-source AI community
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checkpoint-965/config.json
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{
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"_name_or_path": "microsoft/DialoGPT-medium",
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"activation_function": "gelu_new",
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"architectures": [
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"GPT2LMHeadModel"
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],
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"attn_pdrop": 0.1,
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"bos_token_id": 50256,
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"embd_pdrop": 0.1,
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"eos_token_id": 50256,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx": 1024,
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"n_embd": 1024,
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"n_head": 16,
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"n_inner": null,
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"n_layer": 24,
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"n_positions": 1024,
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"resid_pdrop": 0.1,
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"summary_activation": null,
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"summary_first_dropout": 0.1,
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"task_specific_params": {
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"conversational": {
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"max_length": 1000
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}
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},
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"torch_dtype": "bfloat16",
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"transformers_version": "4.46.2",
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"use_cache": true,
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"vocab_size": 50257
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}
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checkpoint-965/generation_config.json
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{
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"eos_token_id": 50256,
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"transformers_version": "4.46.2"
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}
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checkpoint-965/merges.txt
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checkpoint-965/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8913fc51f3d8b7ad1e272dbcc060fc84d4a5da6714b71920e47e79462291df90
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size 709676664
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checkpoint-965/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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size 1419536634
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checkpoint-965/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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size 14244
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checkpoint-965/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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checkpoint-965/special_tokens_map.json
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{
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checkpoint-965/tokenizer.json
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checkpoint-965/tokenizer_config.json
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{
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"bos_token": "<|endoftext|>",
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"chat_template": "{% for message in messages %}{{ message.content }}{{ eos_token }}{% endfor %}",
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checkpoint-965/trainer_state.json
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