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README.md

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----
-license: apache-2.0
----
+---
+base_model: tiiuae/falcon-rw-1b
+library_name: peft
+license: apache-2.0
+datasets:
+  - marmikpandya/mental-health
+language:
+  - en
+tags:
+  - mentalhealth
+  - selfcare
+  - wellness
+  - wellbeing
+  - depression
+  - anxiety
+  - stress
+  - emotionalsupport
+  - mentalsupport
+  - advisor
+---
+
+# Model Card for Model ID
+
+Falcon-1B-Mental-Health-Advisor is a fine-tuned version of the tiiuae/falcon-rw-1b model, adapted for providing empathetic and contextually relevant responses to mental health-related queries. The model has been trained on a curated dataset to assist in mental health conversations, offering advice, guidance, and support for individuals dealing with issues like stress, anxiety, and depression. It provides a compassionate approach to mental health queries while focusing on promoting emotional well-being and mental health awareness.
+
+## Model Details
+
+# Falcon-1B Fine-Tuned for Mental Health (LoRA)
+
+This is a LoRA adapter for the Falcon-RW-1B model. It was fine-tuned on the 'marmikpandya/mental-health' dataset.
+
+## Usage
+
+Since this model is an adapter, it **must** be loaded with the original Falcon-RW-1B model using PEFT:
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from peft import PeftModel
+
+base_model = "tiiuae/falcon-rw-1b"
+model = AutoModelForCausalLM.from_pretrained(base_model, device_map="auto")
+model = PeftModel.from_pretrained(model, "ShivomH/Falcon-1B-Mental-Health-Finetuned")
+
+tokenizer = AutoTokenizer.from_pretrained("ShivomH/Falcon-1B-Mental-Health-Finetuned")
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+- **Developed by:** Shivom Hatalkar
+- **Model type:** Text-Generation
+- **Language(s) (NLP):** English
+- **License:** apache-2.0
+- **Finetuned on model:** falcon-rw-1b
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Bias, Risks, and Limitations
+
+Not a Substitute for Professional Care - This model is not a licensed mental health professional. Its responses may be incomplete, inaccurate, or unsuitable for serious conditions.
+
+Inherent Biases - May reflect biases in training data (e.g., cultural assumptions, stigmatizing language).
+
+Crisis Limitations - Not designed for crisis intervention (e.g., suicidal ideation, self-harm). Always direct users to human professionals or emergency services.
+
+Over-Reliance Risk - Outputs could inadvertently worsen symptoms if users interpret them as definitive advice.
+
+Privacy - Avoid sharing sensitive personal details, as generated text is not anonymized or secure.
+
+Intended Use - Assist with general emotional support, not diagnosis or treatment.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Framework versions
+
+- PEFT 0.14.0
+```

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "tiiuae/falcon-rw-1b",
+  "bias": "none",
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.2,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "query_key_value"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0c82195311d4cccae519892ea540669890fa25d3d1ef698b2431391ca827e62f
+size 25173000

config.json

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+{
+    "alibi": true,
+    "apply_residual_connection_post_layernorm": false,
+    "architectures": [
+      "FalconForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "auto_map": {
+      "AutoConfig": "configuration_falcon.FalconConfig",
+      "AutoModel": "modeling_falcon.FalconModel",
+      "AutoModelForSequenceClassification": "modeling_falcon.FalconForSequenceClassification",
+      "AutoModelForTokenClassification": "modeling_falcon.FalconForTokenClassification",
+      "AutoModelForQuestionAnswering": "modeling_falcon.FalconForQuestionAnswering",
+      "AutoModelForCausalLM": "modeling_falcon.FalconForCausalLM"
+    },
+    "bias": true,
+    "bos_token_id": 1,
+    "eos_token_id": 2,
+    "hidden_dropout": 0.0,
+    "hidden_size": 2048,
+    "initializer_range": 0.02,
+    "layer_norm_epsilon": 1e-05,
+    "model_type": "falcon",
+    "multi_query": false,
+    "new_decoder_architecture": false,
+    "num_attention_heads": 32,
+    "num_hidden_layers": 24,
+    "parallel_attn": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.27.4",
+    "use_cache": true,
+    "vocab_size": 50304
+  }

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<|endoftext|>",
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "50256": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "extra_special_tokens": {},
+  "model_max_length": 1024,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}