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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mega-ar-350m-L3t-v0.
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This model is a fine-tuned version of [pszemraj/mega-ar-350m-L3t-v0.07-cosmo_webmath_py](https://hf.co/pszemraj/mega-ar-350m-L3t-v0.07-cosmo_webmath_py) on the BEE-spoke-data/UltraTextbooks-2.1-fw_mix dataset.
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It achieves the following results on the evaluation set:
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- Accuracy: 0.5746
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- Num Input Tokens Seen: 3492282368
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## Model description
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More information needed
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More information needed
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## Training procedure
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# mega-ar-350m-L3t-v0.08-ultraTBfw
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## Model description
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This model is a fine-tuned version of [pszemraj/mega-ar-350m-L3t-v0.07-cosmo_webmath_py](https://hf.co/pszemraj/mega-ar-350m-L3t-v0.07-cosmo_webmath_py) on the BEE-spoke-data/UltraTextbooks-2.1-fw_mix dataset.
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It achieves the following results on the evaluation set:
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- Accuracy: 0.5746
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- Num Input Tokens Seen: 3492282368
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## Quick eval
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Quick eval for: pszemraj/mega-ar-350m-L3t-v0.08-ultraTBfw
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bootstrapping for stddev: perplexity
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hf (pretrained=pszemraj/mega-ar-350m-L3t-v0.08-ultraTBfw,trust_remote_code=True,dtype=float), gen_kwargs: (None), limit: 0.99999, num_fewshot: None, batch_size: 8
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| Tasks |Version|Filter|n-shot| Metric | Value | |Stderr|
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|--------------|------:|------|-----:|----------|------:|---|-----:|
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|arc_easy | 1|none | 0|acc | 0.4246|± |0.0139|
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| | |none | 0|acc_norm | 0.4002|± |0.0138|
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|boolq | 2|none | 0|acc | 0.5762|± |0.0139|
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|lambada_openai| 1|none | 0|perplexity|76.7162|± |6.3531|
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| | |none | 0|acc | 0.2605|± |0.0123|
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|openbookqa | 1|none | 0|acc | 0.1840|± |0.0173|
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| | |none | 0|acc_norm | 0.2720|± |0.0199|
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|piqa | 1|none | 0|acc | 0.6377|± |0.0135|
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| | |none | 0|acc_norm | 0.6172|± |0.0137|
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|winogrande | 1|none | 0|acc | 0.5020|± |0.0141|
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## Training procedure
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