Upload TTM Stage of Change classifier for nutrition behavior change

README.md

@@ -0,0 +1,97 @@
+---
+language: en
+license: mit
+tags:
+- nutrition
+- behavior-change
+- tpb
+- ttm
+- distilbert
+- text-classification
+datasets:
+- custom
+metrics:
+- accuracy
+model-index:
+- name: franzzzzzzzzz/ttm-stage-nutrition
+  results:
+  - task:
+      type: text-classification
+    metrics:
+    - type: accuracy
+      value: 84.0
+---
+
+# franzzzzzzzzz/ttm-stage-nutrition
+
+## Model Description
+
+Fine-tuned DistilBERT model for classifying stage of change (pre-contemplation, contemplation, preparation, action, maintenance) based on the Transtheoretical Model (TTM) for nutrition behavior change.
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) 
+for behavior change inference in nutrition coaching contexts.
+
+## Training Data
+
+- **Training samples**: 175
+- **Validation samples**: 25
+- **Test samples**: 50
+- **Total**: 250 samples
+
+## Performance
+
+- **Test Accuracy**: 84.0%
+
+## Intended Use
+
+This model is designed for:
+- Nutrition coaching chatbots
+- Behavior change interventions
+- Health psychology research
+- Personalized dietary guidance
+
+## How to Use
+
+```python
+from transformers import DistilBertTokenizer, DistilBertForSequenceClassification
+import torch
+
+# Load model
+tokenizer = DistilBertTokenizer.from_pretrained("franzzzzzzzzz/ttm-stage-nutrition")
+model = DistilBertForSequenceClassification.from_pretrained("franzzzzzzzzz/ttm-stage-nutrition")
+
+# Predict
+text = "I love healthy food, it's amazing!"
+inputs = tokenizer(text, return_tensors='pt', padding=True, truncation=True)
+outputs = model(**inputs)
+prediction = torch.argmax(outputs.logits, dim=1).item()
+
+# Convert 0-4 to 1-5 scale
+score = prediction + 1
+print(f"Score: {score}/5")
+```
+
+## Limitations
+
+- Trained on English text only
+- Limited to nutrition/dietary contexts
+- May not generalize to other health behaviors
+- Requires context-appropriate input
+
+## Citation
+
+If you use this model, please cite:
+
+```
+@misc{tpb-ttm-nutrition-models,
+  author = {Your Name},
+  title = {franzzzzzzzzz/ttm-stage-nutrition},
+  year = {2026},
+  publisher = {Hugging Face},
+  howpublished = {\url{https://huggingface.co/franzzzzzzzzz/ttm-stage-nutrition}}
+}
+```
+
+## License
+
+MIT License

config.json

@@ -0,0 +1,39 @@
+{
+  "_name_or_path": "distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.49.0",
+  "vocab_size": 30522
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fe2721dcda8fd0b5b3c20b9289bdc6766927469a9fb5f1c193b781d9f778d677
+size 267841796

special_tokens_map.json

@@ -0,0 +1,7 @@
+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

@@ -0,0 +1,58 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0c6c813961c87a0d7925711ecd6de5e3a13d32f57822c5f1330da3ccde977ab9
+size 5240