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README.md
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@@ -48,24 +48,23 @@ This training run is monolingual and uses c4en and english wikipedia datasets.
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## Test results
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These are the results from [EleutherAI/lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness) at
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| Task |Version| Metric | Value | |Stderr|
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|--------------|------:|--------|------:|---|-----:|
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|anli_r1 | 0|acc | 0.
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|anli_r2 | 0|acc | 0.
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|anli_r3 | 0|acc | 0.
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|hellaswag | 0|acc | 0.
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| | |acc_norm| 0.
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|lambada_openai| 0|ppl |
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| | |acc | 0.
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|mathqa | 0|acc | 0.
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| | |acc_norm| 0.
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|piqa | 0|acc | 0.
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| | |acc_norm| 0.
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|winogrande | 0|acc | 0.
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|wsc | 0|acc | 0.
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## Installation
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## Test results
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These are the results from [EleutherAI/lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness) at 81B (tokens trained) checkpoint.
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| Task |Version| Metric | Value | |Stderr|
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|--------------|------:|--------|------:|---|-----:|
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|anli_r1 | 0|acc | 0.3260|± |0.0148|
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|anli_r2 | 0|acc | 0.3380|± |0.0150|
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|anli_r3 | 0|acc | 0.3583|± |0.0138|
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|hellaswag | 0|acc | 0.4666|± |0.0050|
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| | |acc_norm| 0.6157|± |0.0049|
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|lambada_openai| 0|ppl |10.0153|± |0.3145|
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| | |acc | 0.5403|± |0.0069|
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|mathqa | 0|acc | 0.2332|± |0.0077|
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| | |acc_norm| 0.2348|± |0.0078|
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|piqa | 0|acc | 0.7503|± |0.0101|
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| | |acc_norm| 0.7503|± |0.0101|
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|winogrande | 0|acc | 0.5872|± |0.0138|
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|wsc | 0|acc | 0.5673|± |0.0488|
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## Installation
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