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Model: UEC-InabaLab/Llama-3.1-KokoroChat-High Source: Original Platform
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README.md
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---
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base_model: tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.3
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license:
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- llama3.1
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- gemma
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language:
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- ja
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- en
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pipeline_tag: text-generation
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tags:
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- counseling
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- dialogue-system
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datasets:
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- UEC-InabaLab/KokoroChat
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---
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# 🧠 Llama-3.1-KokoroChat-High: Japanese Counseling Dialogue Model
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**Llama-3.1-KokoroChat-High** is a large-scale Japanese language model fine-tuned on the **entire KokoroChat dataset**—a collection of over 6,000 psychological counseling dialogues conducted via **role-play between trained counselors**. The model is capable of generating **empathetic and context-aware responses** suitable for mental health-related conversational tasks.
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---
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## 💡 Overview
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- ✅ Fine-tuned on **2,601 dialogues** with client feedback scores between **70 and 98**
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- ✅ Data collected through **text-based role-play** by trained counselors
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- ✅ Covers a wide range of topics: depression, family, school, career, relationships, and more
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- ✅ Base Model: [`tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.3`](https://huggingface.co/tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.3)
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---
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## ⚙️ Usage Example
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_id = "UEC-InabaLab/Llama-3.1-KokoroChat-High"
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# Load tokenizer and model
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")
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# Set pad_token_id
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if tokenizer.pad_token_id is None:
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tokenizer.pad_token = "[PAD]"
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tokenizer.pad_token_id = tokenizer.convert_tokens_to_ids("[PAD]")
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model.config.pad_token_id = tokenizer.pad_token_id
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# Build dialogue input
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messages = [
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{"role": "system", "content": "心理カウンセリングの会話において、対話履歴を考慮し、カウンセラーとして適切に応答してください。"},
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{"role": "user", "content": "最近、気分が落ち込んでやる気が出ません。"}
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]
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# Tokenize with chat template
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inputs = tokenizer.apply_chat_template(
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messages,
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add_generation_prompt=True,
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return_tensors="pt"
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).to(model.device)
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attention_mask = inputs.ne(tokenizer.pad_token_id)
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# Generate response
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outputs = model.generate(
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inputs,
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attention_mask=attention_mask,
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pad_token_id=tokenizer.pad_token_id,
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max_new_tokens=256
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)
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# Extract only the newly generated tokens
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response = outputs[0][inputs.shape[-1]:]
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response_text = tokenizer.decode(response, skip_special_tokens=True)
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# Print clean response
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print(response_text)
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```
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---
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## 🛠️ Fine-Tuning Details
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Fine-tuning was performed using **QLoRA** with the following configuration:
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- **Quantization**: 4-bit NF4 with bfloat16 computation
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- **LoRA target modules**: `q_proj`, `k_proj`, `v_proj`, `o_proj`, `gate_proj`, `up_proj`, `down_proj`
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- **LoRA parameters**:
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- `r = 8`
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- `lora_alpha = 16`
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- `lora_dropout = 0.05`
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### Dataset Split
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- **Training Data**: 2,601 dialogues with feedback scores between 70 and 98
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- **Train/Validation Split**: 90% train, 10% validation
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### Hyperparameter Settings
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- **Optimizer**: `adamw_8bit`
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- **Warm-up Steps**: `100`
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- **Learning Rate**: `1e-3`
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- **Epochs**: `5`
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- **Batch Size**: `8`
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- **Validation Frequency**: every 400 steps
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---
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## 📄 Citation
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If you use this model or dataset, please cite the following paper:
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```bibtex
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@inproceedings{qi2025kokorochat,
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title = {KokoroChat: A Japanese Psychological Counseling Dialogue Dataset Collected via Role-Playing by Trained Counselors},
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author = {Zhiyang Qi and Takumasa Kaneko and Keiko Takamizo and Mariko Ukiyo and Michimasa Inaba},
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booktitle = {Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics},
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year = {2025},
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url = {https://github.com/UEC-InabaLab/KokoroChat}
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}
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```
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---
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## 🔗 Related
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- 📁 **Dataset**:
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- [KokoroChat on Hugging Face Datasets](https://huggingface.co/datasets/UEC-InabaLab/KokoroChat)
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- [KokoroChat on GitHub (UEC-InabaLab)](https://github.com/UEC-InabaLab/KokoroChat)
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- 🤖 **Model Variants**:
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- [Llama-3.1-KokoroChat-Low](https://huggingface.co/UEC-InabaLab/Llama-3.1-KokoroChat-Low): fine-tuned on **3,870 dialogues** with client feedback scores **< 70**
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- [Llama-3.1-KokoroChat-Full](https://huggingface.co/UEC-InabaLab/Llama-3.1-KokoroChat-Full): fine-tuned on **6,471 dialogues** with client feedback scores **≤ 98**
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- 🤖 **Score Prediction Model**:
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- [Llama-3.1-KokoroChat-ScorePrediction](https://huggingface.co/UEC-InabaLab/Llama-3.1-KokoroChat-ScorePrediction): fine-tuned to **predict client feedback scores** based on the full counseling dialogue history.
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- 📄 **Paper**: [ACL 2025 Paper](https://aclanthology.org/2025.acl-long.608/)
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config.json
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"_name_or_path": "tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.3",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"eos_token_id": [
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 8192,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 8.0,
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"high_freq_factor": 4.0,
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"low_freq_factor": 1.0,
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"original_max_position_embeddings": 8192,
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"rope_type": "llama3"
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"rope_theta": 500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.48.0",
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"use_cache": true,
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"vocab_size": 128256
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}
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"temperature": 0.6,
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"transformers_version": "4.48.0"
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|
||||
"model.norm.weight": "model-00004-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|eot_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|finetune_right_pad_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:268aef6511a866fd03104209ff6592ded093172c0cdaf8885ff9c97d62e32869
|
||||
size 17209958
|
||||
2064
tokenizer_config.json
Normal file
2064
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user