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README.md

@@ -16,24 +16,44 @@ Provide code snippets on how to use your model.
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model_name = "{username}/{model_id}"
+model_name = "MattStammers/chatty_mapper"
 model = AutoModelForCausalLM.from_pretrained(model_name)
 tokenizer = AutoTokenizer.from_pretrained(model_name)
-```
-
-Model Performance on small 28 parameter test-set
-- Accuracy: 0
-- Precision: 0
-- Recall: 0
 
-### Example Output:
+# Your example here
+Model Performance
+Accuracy: 0.0
+Precision: 0.0
+Recall: 0.0
+Example DataFrame head:                   ParameterName  SNOMEDCode  \
+0                   *Heart rate   364075005   
+1  Peripheral oxygen saturation   431314004   
+2        Mean arterial pressure  1285244000   
+3     *Diastolic blood pressure   271650006   
+4      *Systolic blood pressure   271649006   
+
+                              ExtractedSNOMEDNumbers  CorrectPrediction  
+0                                            3222222              False  
+1  4222222000000000000000000000000000000000000000...              False  
+2                                                NaN              False  
+3                                                NaN              False  
+4                                                NaN              False  
+
+Limitations and bias
+It is prone to wandering and certainly not medical-grade.
+
+Acknowledgments
+Thanks to the Mixtral AI team for creating the base model.
+```
 
-| ParameterName | SNOMEDCode | ExtractedSNOMEDNumbers | CorrectPrediction |
-|---------------|------------|------------------------|-------------------|
-| Heart rate    | 364075005  | 3222222                | False             |
+Save the model card in the model directory
+with open(f"models/chatty_mapper/README.md", "w") as f:
+f.write(model_card_content)
 
-### Limitations and bias
-It is really low grade but I had fun building it so have pushed it up
+Use Hugging Face's Repository class for Git operations
+repo = Repository(local_dir=model_save_path, clone_from=repo_url)
+repo.git_add()
+repo.git_commit("Initial model upload with model card and metrics")
+repo.git_push()
 
-### Acknowledgments
-Thanks to the Mixtral AI team for creating the base model for this one and to Meta for releasing the Llama2 foundation model open source.
+print(f"Model, model card, and metrics successfully pushed to: https://huggingface.co/MattStammers/chatty_mapper")

config.json

@@ -0,0 +1,26 @@
+{
+  "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.1",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.39.1"
+}

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special_tokens_map.json

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+{
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "</s>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
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+  "add_eos_token": false,
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+      "special": true
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+      "single_word": false,
+      "special": true
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+      "single_word": false,
+      "special": true
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+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}