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README.md

@@ -1,32 +1,9 @@
 ---
-datasets:
-- garage-bAInd/Open-Platypus
 library_name: peft
-tags:
-- meta-llama/Llama-2-7b-hf
-- code
-- instruct
-- instruct-code
-- logical-reasoning
-- Platypus2
 ---
+## Training procedure
 
-We finetuned Meta-Llama/Llama-2-7b-hf on the Open-Platypus dataset (garage-bAInd/Open-Platypus) for 5 epochs using [MonsterAPI](https://monsterapi.ai) no-code [LLM finetuner](https://docs.monsterapi.ai/fine-tune-a-large-language-model-llm).
+### Framework versions
 
-#### About OpenPlatypus Dataset
-OpenPlatypus is focused on improving LLM logical reasoning skills and was used to train the Platypus2 models. The dataset is comprised of various sub-datasets, including PRM800K, ScienceQA, SciBench, ReClor, TheoremQA, among others. These were filtered using keyword search and Sentence Transformers to remove questions with a similarity above 80%. The dataset includes contributions under various licenses like MIT, Creative Commons, and Apache 2.0.
 
-The finetuning session got completed in 1 hour and 30 minutes and costed us only `$15` for the entire finetuning run!
-
-#### Hyperparameters & Run details:
-- Model Path: meta-llama/Llama-2-7b-hf
-- Dataset: garage-bAInd/Open-Platypus
-- Learning rate: 0.0003
-- Number of epochs: 5
-- Data split: Training: 90% / Validation: 10%
-- Gradient accumulation steps: 1
-
-
----
-license: apache-2.0
----
+- PEFT 0.5.0

adapter_config.json

@@ -0,0 +1,23 @@
+{
+  "auto_mapping": null,
+  "base_model_name_or_path": "codellama/CodeLlama-7b-hf",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 16,
+  "lora_dropout": 0,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "revision": null,
+  "target_modules": [
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+    "k_proj",
+    "v_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.bin

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special_tokens_map.json

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+{
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+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
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tokenizer.model

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tokenizer_config.json

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+{
+  "bos_token": {
+    "__type": "AddedToken",
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+  "legacy": null,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": null,
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
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+  "use_default_system_prompt": true
+}