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jtatman/pythia-delphi-micromachine-funnel

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

  • —Developed by: Tatman Electric
  • —Funded by [optional]: Spare Pocket Lint
  • —Shared by [optional]: TRL
  • —Model type: Sliced Layered
  • —Language(s) (NLP): Mixed
  • —License: Pythia @ EleutherAI
  • —Finetuned from model [optional]: EleutherAI/pythia-2.8b-deduped

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Direct Use

Part of a series of slice and dice mods.

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Single Hidden Layer Pythia

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Training Details

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Speeds, Sizes, Times [optional]

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Evaluation

GroupsVersionFiltern-shotMetricValueStderr
Open LLM LeaderboardN/Anone5rouge1_max36.3550±0.9462
flexible-extract5exact_match0.0220±0.0066
- arc_challenge1none25acc0.1760±0.0170
none25acc_norm0.2320±0.0189
- gsm8k3strict-match5exact_match0.0060±0.0035
flexible-extract5exact_match0.0220±0.0066
- hellaswag1none10acc0.3520±0.0214
none10acc_norm0.4040±0.0220
- winogrande1none5acc0.5120±0.0224
none5bleu_diff-0.6500±0.6421
none5rouge1_acc0.3700±0.0216
none5rouge1_diff-1.5564±1.0223
none5acc0.2664±0.0036
none5rougeL_max33.8798±0.9367
none5rouge2_diff-3.3178±0.9477
none5bleu_max15.2292±0.6714
none5bleu_acc0.4360±0.0222
none5rouge2_max16.4873±1.0172
none5acc_norm0.3180±0.0145
strict-match5exact_match0.0060±0.0035
none5rougeL_diff-0.7765±1.0034
none5rougeL_acc0.3860±0.0218
none5rouge2_acc0.1920±0.0176
- mmluN/Anone0acc0.2533±0.0039
- humanitiesN/Anone5acc0.2408±0.0075
- otherN/Anone5acc0.2443±0.0080
- social_sciencesN/Anone5acc0.2538±0.0081
- stemN/Anone5acc0.2740±0.0079
- truthfulqaN/Anone0rouge1_max36.3550±0.9462
none0bleu_diff-0.6500±0.6421
none0rouge1_acc0.3700±0.0216
none0rouge1_diff-1.5564±1.0223
none0acc0.3435±0.0137
none0rougeL_max33.8798±0.9367
none0bleu_max15.2292±0.6714
none0bleu_acc0.4360±0.0222
none0rouge2_max16.4873±1.0172
none0rougeL_acc0.3860±0.0218
none0rougeL_diff-0.7765±1.0034
none0rouge2_acc0.1920±0.0176
none0rouge2_diff-3.3178±0.9477

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Testing Data, Factors & Metrics

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Results

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Summary

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Environmental Impact

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

  • —Hardware Type: OldAsDirt
  • —Hours used: 5
  • —Cloud Provider: YourMomsBasement
  • —Compute Region: Siberia
  • —Carbon Emitted: 8ppm

No yaks were harmed in the making of this model.

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