Adding Evaluation Results
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            ---
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            license: apache-2.0
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            datasets:
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            - cerebras/SlimPajama-627B
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            - bigcode/starcoderdata
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            ---
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            <div align="center">
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| @@ -35,4 +138,17 @@ This collection contains all checkpoints after the 1T fix. Branch name indicates | |
| 35 | 
             
            | TinyLlama-1.1B-intermediate-step-715k-1.5T |     1.5T     | 53.68     | 35.20 | 58.33      | 29.18 | 51.89 | 59.08 | 71.65 | 51.29 |
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            | TinyLlama-1.1B-intermediate-step-955k-2T |     2T     | 54.63     | 33.40 | 56.83      | 28.07 | 54.67 | 63.21 | 70.67 | 51.64 |
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            | TinyLlama-1.1B-intermediate-step-1195k-2.5T              |     2.5T     | 58.96     | 34.40 | 58.72      | 31.91 | 56.78 | 63.21 | 73.07 | 53.86|
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            -
            | TinyLlama-1.1B-intermediate-step-1431k-3T |     3T     | 59.20     | 36.00 | 59.12      | 30.12 | 55.25 | 57.83 | 73.29 | 52.99|
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            ---
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            language:
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            - en
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            license: apache-2.0
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            datasets:
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            - cerebras/SlimPajama-627B
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            - bigcode/starcoderdata
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            model-index:
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            - name: TinyLlama-1.1B-intermediate-step-1431k-3T
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              results:
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              - task:
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                  type: text-generation
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                  name: Text Generation
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                dataset:
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                  name: AI2 Reasoning Challenge (25-Shot)
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                  type: ai2_arc
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                  config: ARC-Challenge
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                  split: test
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                  args:
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                    num_few_shot: 25
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                metrics:
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                - type: acc_norm
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                  value: 33.87
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                  name: normalized accuracy
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                source:
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                  url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
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                  name: Open LLM Leaderboard
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              - task:
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                  type: text-generation
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                  name: Text Generation
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                dataset:
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                  name: HellaSwag (10-Shot)
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                  type: hellaswag
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                  split: validation
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                  args:
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                    num_few_shot: 10
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                metrics:
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                - type: acc_norm
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                  value: 60.31
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                  name: normalized accuracy
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                source:
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                  url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
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                  name: Open LLM Leaderboard
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              - task:
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                  type: text-generation
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                  name: Text Generation
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                dataset:
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                  name: MMLU (5-Shot)
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                  type: cais/mmlu
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                  config: all
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                  split: test
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                  args:
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                    num_few_shot: 5
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                metrics:
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                - type: acc
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                  value: 26.04
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                  name: accuracy
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                source:
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                  url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
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                  name: Open LLM Leaderboard
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              - task:
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                  type: text-generation
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                  name: Text Generation
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                dataset:
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                  name: TruthfulQA (0-shot)
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                  type: truthful_qa
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                  config: multiple_choice
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                  split: validation
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                  args:
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                    num_few_shot: 0
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                metrics:
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                - type: mc2
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                  value: 37.32
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                source:
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                  url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
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                  name: Open LLM Leaderboard
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              - task:
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                  type: text-generation
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                  name: Text Generation
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                dataset:
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                  name: Winogrande (5-shot)
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                  type: winogrande
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                  config: winogrande_xl
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                  split: validation
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                  args:
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                    num_few_shot: 5
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                metrics:
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                - type: acc
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                  value: 59.51
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                  name: accuracy
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                source:
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                  url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
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                  name: Open LLM Leaderboard
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            +
              - task:
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                  type: text-generation
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                  name: Text Generation
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                dataset:
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                  name: GSM8k (5-shot)
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                  type: gsm8k
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                  config: main
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                  split: test
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                  args:
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                    num_few_shot: 5
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                metrics:
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                - type: acc
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                  value: 1.44
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                  name: accuracy
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                source:
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                  url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
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                  name: Open LLM Leaderboard
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            ---
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            <div align="center">
         | 
| 113 |  | 
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| 138 | 
             
            | TinyLlama-1.1B-intermediate-step-715k-1.5T |     1.5T     | 53.68     | 35.20 | 58.33      | 29.18 | 51.89 | 59.08 | 71.65 | 51.29 |
         | 
| 139 | 
             
            | TinyLlama-1.1B-intermediate-step-955k-2T |     2T     | 54.63     | 33.40 | 56.83      | 28.07 | 54.67 | 63.21 | 70.67 | 51.64 |
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| 140 | 
             
            | TinyLlama-1.1B-intermediate-step-1195k-2.5T              |     2.5T     | 58.96     | 34.40 | 58.72      | 31.91 | 56.78 | 63.21 | 73.07 | 53.86|
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            +
            | TinyLlama-1.1B-intermediate-step-1431k-3T |     3T     | 59.20     | 36.00 | 59.12      | 30.12 | 55.25 | 57.83 | 73.29 | 52.99|
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| 142 | 
            +
            # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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            Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_TinyLlama__TinyLlama-1.1B-intermediate-step-1431k-3T)
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            |             Metric              |Value|
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            |---------------------------------|----:|
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            |Avg.                             |36.42|
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            |AI2 Reasoning Challenge (25-Shot)|33.87|
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            |HellaSwag (10-Shot)              |60.31|
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            |MMLU (5-Shot)                    |26.04|
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            |TruthfulQA (0-shot)              |37.32|
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            |Winogrande (5-shot)              |59.51|
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| 153 | 
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            |GSM8k (5-shot)                   | 1.44|
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            +
             | 
