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Model: kwchoi/DPO_mistral_7b_alpaca_0124_v1
Source: Original Platform

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README.md

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+---
+language:
+- en
+license: apache-2.0
+datasets:
+- Intel/orca_dpo_pairs
+model-index:
+- name: DPO_mistral_7b_alpaca_0124_v1
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 63.4
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kwchoi/DPO_mistral_7b_alpaca_0124_v1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 73.2
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kwchoi/DPO_mistral_7b_alpaca_0124_v1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 60.51
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kwchoi/DPO_mistral_7b_alpaca_0124_v1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 66.76
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kwchoi/DPO_mistral_7b_alpaca_0124_v1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 77.19
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kwchoi/DPO_mistral_7b_alpaca_0124_v1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 25.85
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kwchoi/DPO_mistral_7b_alpaca_0124_v1
+      name: Open LLM Leaderboard
+---
+Testing Mistral-Instruct model with Orca DPO dataset.
+Trying to see the effects of DPO for own study.
+Used Mistral-7B-Instrcut-v0.2 model due to its good performance
+Testing Mistral-Instruct model with Orca DPO dataset.
+Trying to see the effects of DPO for own study.
+Used Mistral-7B-Instrcut-v0.2 model due to its good performance
+Testing Mistral-Instruct model with Orca DPO dataset.
+Trying to see the effects of DPO for own study.
+Used Mistral-7B-Instrcut-v0.2 model due to its good performance
+Testing Mistral-Instruct model with Orca DPO dataset.
+Trying to see the effects of DPO for own study.
+Used Mistral-7B-Instrcut-v0.2 model due to its good performance
+Testing Mistral-Instruct model with Orca DPO dataset.
+Trying to see the effects of DPO for own study.
+Used Mistral-7B-Instrcut-v0.2 model due to its good performance
+Testing Mistral-Instruct model with Orca DPO dataset.
+Trying to see the effects of DPO for own study.
+Used Mistral-7B-Instrcut-v0.2 model due to its good performance
+Testing Mistral-Instruct model with Orca DPO dataset.
+Trying to see the effects of DPO for own study.
+Used Mistral-7B-Instrcut-v0.2 model due to its good performance
+Testing Mistral-Instruct model with Orca DPO dataset.
+Trying to see the effects of DPO for own study.
+Used Mistral-7B-Instrcut-v0.2 model due to its good performanceTesting Mistral-Instruct model with Orca DPO dataset.
+Trying to see the effects of DPO for own study.
+Used Mistral-7B-Instrcut-v0.2 model due to its good performance
+Testing Mistral-Instruct model with Orca DPO dataset.
+Trying to see the effects of DPO for own study.
+Used Mistral-7B-Instrcut-v0.2 model due to its good performance
+Testing Mistral-Instruct model with Orca DPO dataset.
+Trying to see the effects of DPO for own study.
+Used Mistral-7B-Instrcut-v0.2 model due to its good performance
+Testing Mistral-Instruct model with Orca DPO dataset.
+Trying to see the effects of DPO for own study.
+Used Mistral-7B-Instrcut-v0.2 model due to its good performanceTesting Mistral-Instruct model with Orca DPO dataset.
+Trying to see the effects of DPO for own study.
+Used Mistral-7B-Instrcut-v0.2 model due to its good performance
+Testing Mistral-Instruct model with Orca DPO dataset.
+Trying to see the effects of DPO for own study.
+Used Mistral-7B-Instrcut-v0.2 model due to its good performance
+Testing Mistral-Instruct model with Orca DPO dataset.
+Trying to see the effects of DPO for own study.
+Used Mistral-7B-Instrcut-v0.2 model due to its good performance
+Testing Mistral-Instruct model with Orca DPO dataset.
+Trying to see the effects of DPO for own study.
+Used Mistral-7B-Instrcut-v0.2 model due to its good performanceTesting Mistral-Instruct model with Orca DPO dataset.
+Trying to see the effects of DPO for own study.
+Used Mistral-7B-Instrcut-v0.2 model due to its good performance
+Testing Mistral-Instruct model with Orca DPO dataset.
+Trying to see the effects of DPO for own study.
+Used Mistral-7B-Instrcut-v0.2 model due to its good performance
+Testing Mistral-Instruct model with Orca DPO dataset.
+Trying to see the effects of DPO for own study.
+Used Mistral-7B-Instrcut-v0.2 model due to its good performance
+Testing Mistral-Instruct model with Orca DPO dataset.
+Trying to see the effects of DPO for own study.
+Used Mistral-7B-Instrcut-v0.2 model due to its good performance
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_kwchoi__DPO_mistral_7b_alpaca_0124_v1)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |61.15|
+|AI2 Reasoning Challenge (25-Shot)|63.40|
+|HellaSwag (10-Shot)              |73.20|
+|MMLU (5-Shot)                    |60.51|
+|TruthfulQA (0-shot)              |66.76|
+|Winogrande (5-shot)              |77.19|
+|GSM8k (5-shot)                   |25.85|
+

config.json

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+{
+  "_name_or_path": "/home/agilesoda/RL/DPO_new/andy_output/mistral-7B-alpaca/final_merged_checkpoint",
+  "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": "4.36.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.36.2"
+}

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special_tokens_map.json

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+    "rstrip": false,
+    "single_word": false
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+}

tokenizer_config.json

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+  "tokenizer_class": "LlamaTokenizer",
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+  "use_default_system_prompt": false
+}