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Model: Columbia-NLP/gemma-2b-zephyr-sft
Source: Original Platform

.gitattributes

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README.md

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+---
+license: other
+license_name: gemma-terms-of-use
+license_link: https://ai.google.dev/gemma/terms
+base_model: google/gemma-2b
+tags:
+- alignment-handbook
+- trl
+- sft
+- generated_from_trainer
+datasets:
+- HuggingFaceH4/deita-10k-v0-sft
+model-index:
+- name: gemma-2b-zephyr-sft
+  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: 51.88
+      name: normalized accuracy
+  - 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: 72.63
+      name: normalized accuracy
+  - 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: 42.20
+      name: accuracy
+  - 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: 41.96
+  - 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: 63.85
+      name: accuracy
+  - 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: 20.09
+      name: accuracy
+---
+
+# Model Card for Gemma 2B Zephyr SFT
+
+We trained the [google/gemma-2b](https://huggingface.co/google/gemma-2b) with [deita-10k-v0-sft](https://huggingface.co/datasets/HuggingFaceH4/deita-10k-v0-sft).
+We carefully selected the hyper-parameters and masked the user tokens during training to achieve the best supervised fine-tuning performance.
+
+## Model description
+
+- **Model type:** A 2.5B parameter GPT-like model fine-tuned on a mix of publicly available, synthetic datasets.
+- **Language(s) (NLP):** Primarily English
+- **License:** Gemma Terms of Use
+- **Finetuned from model:** [google/gemma-2b](https://huggingface.co/google/gemma-2b)
+
+
+## License
+This model has the same license as the [original Gemma model collection](https://ai.google.dev/gemma/terms)
+
+## OpenLLM Leaderboard Performance
+
+| Models                                  | Avg. | ARC   | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8k |
+|-----------------------------------------|------|-------|-----------|------|------------|------------|-------|
+| google/gemma-2b                         | 46.37| 48.38 | 71.77     | 41.77| 33.08      | 66.77      | 16.91 |
+| google/gemma-2b-it                      | 42.75| 43.94 | 62.70     | 37.65| 45.82      | 60.93      | 5.46 |
+| wandb/gemma-2b-zephyr-sft               | 47.18| 49.74 | 72.38     | 41.37| 34.42      | 66.93      | 18.27 |
+| wandb/gemma-2b-zephyr-dpo               | 46.92| 49.66 | 72.23     | 41.13| 34.47      | 66.54      | 17.51 |
+| **Columbia-NLP/gemma-2b-zephyr-sft**    | 48.75| 51.80 | 72.63     | 42.20| 41.96      | 63.85      | 20.09 |
+| Columbia-NLP/gemma-2b-zephyr-dpo        | 49.14| 52.22 | 73.11     | 42.55| 42.64      | 64.40      | 19.94 |
+
+
+## MT-Bench
+
+GPT-4-0125-preview as Judge
+
+| Model                                    | Total | Coding | Extraction | Humanities | Math | Reasoning | Roleplay | STEM | Writing |
+|------------------------------------------|-------|--------|------------|------------|------|-----------|----------|------|---------|
+| google/gemma-2b-it                       | 4.71  | 2.95   | 4.35       | 6.15       | 2.90 | 3.50      | 5.60     | 5.50 | 6.70    |
+| wandb/gemma-2b-zephyr-sft                | 4.03  | 3.10   | 3.15       | 5.00       | 2.70 | 2.65      | 5.10     | 4.80 | 5.75    |
+| wandb/gemma-2b-zephyr-dpo                | 4.06  | 2.80   | 2.90       | 5.55       | 2.65 | 2.70      | 5.20     | 4.80 | 5.85    |
+| **Columbia-NLP/gemma-2b-zephyr-sft**     | 4.34  | 3.10   | 3.70       | 6.25       | 2.65 | 2.70      | 5.55     | 5.25 | 5.50    |
+| Columbia-NLP/gemma-2b-zephyr-dpo         | 4.75  | 3.50   | 4.05       | 6.75       | 3.30 | 3.70      | 5.85     | 5.40 | 5.53    |
+
+
+

config.json

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+{
+  "_name_or_path": "./zephyr-2b-gemma-sft-pack-v0.3/checkpoint-1463",
+  "architectures": [
+    "GemmaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 2,
+  "eos_token_id": 1,
+  "head_dim": 256,
+  "hidden_act": "gelu",
+  "hidden_activation": null,
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 16384,
+  "max_position_embeddings": 8192,
+  "model_type": "gemma",
+  "num_attention_heads": 8,
+  "num_hidden_layers": 18,
+  "num_key_value_heads": 1,
+  "pad_token_id": 0,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.39.2",
+  "use_cache": false,
+  "vocab_size": 256000
+}

generation_config.json

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+  "bos_token_id": 2,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.39.2"
+}

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special_tokens_map.json

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+{
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+    "<|im_start|>",
+    "<|im_end|>"
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+}

tokenizer.json

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+oid sha256:22449cb9ef4bad0db7dd93b46ddff7ab7d6a654dd4f903e130ddb6361eac3af5
+size 17477473

tokenizer_config.json

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+}