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Haiyang-W
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TokenFormer-1-5B

Text Generation
PyTorch
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@@ -79,17 +79,17 @@ TokenFormer compared with Opensource Transformer-based LLMs.
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  | Model | #Param | LAMBADA | HellaSwag | PIQA | Arc-E | Arc-C | WinoGrande | Average |
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  | :----: | :------: | :------: | :-------: | :--: | :---: | :---: | :--------: | :------: |
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  | Pythia | 150M | 35.4 | 30.3 | 62.3 | 43.6 | 23.6 | 51.3 | 40.1 |
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- | **TokenFormer** | 150M | 45.0 | 35.5 | 64.9 | 47.3 | 24.9 | 50.4 | 44.7 |
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  | Pythia | 410M | 51.4 | 40.6 | 66.9 | 52.1 | 24.6 | 53.8 | 48.2 |
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- | **TokenFormer** | 450M | 57.3 | 47.5 | 69.5 | 56.2 | 26.7 | 54.6 | 52.0 |
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  | Pythia | 1B | 56.1 | 47.2 | 70.7 | 57.0 | 27.1 | 53.5 | 51.9 |
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- | **TokenFormer** | 900M | 64.0 | 55.3 | 72.4 | 59.9 | 30.6 | 56.4 | 56.4 |
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  | GPT-Neo | 1.3B | 57.2 | 48.9 | 71.1 | 56.2 | 25.9 | 54.9 | 52.4 |
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  | OPT | 1.3B | 58.0 | 53.7 | 72.4 | 56.7 | 29.6 | 59.5 | 55.0 |
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  | Pythia | 1.3B | 61.7 | 52.1 | 71.0 | 60.5 | 28.5 | 57.2 | 55.2 |
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  | GPT-Neo | 2.7B | 62.2 | 55.8 | 71.1 | 61.1 | 30.2 | 57.6 | 56.5 |
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  | OPT | 2.7B | 63.6 | 60.6 | 74.8 | 60.8 | 31.3 | 61.0 | 58.7 |
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  | Pythia | 2.8B | 64.7 | 59.3 | 74.0 | 64.1 | 32.9 | 59.7 | 59.1 |
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- | **TokenFormer** | 1.5B | 64.7 | 60.0 | 74.8 | 64.8 | 32.0 | 59.7 | 59.3 |
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  <figcaption>Zero-shot evaluation of Language Modeling. </figcaption>
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- </figure>
 
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  | Model | #Param | LAMBADA | HellaSwag | PIQA | Arc-E | Arc-C | WinoGrande | Average |
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  | :----: | :------: | :------: | :-------: | :--: | :---: | :---: | :--------: | :------: |
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  | Pythia | 150M | 35.4 | 30.3 | 62.3 | 43.6 | 23.6 | 51.3 | 40.1 |
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+ | **TokenFormer** | 150M | **45.0** | **35.5** | **64.9** | **47.3** | **24.9** | **50.4** | **44.7** |
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  | Pythia | 410M | 51.4 | 40.6 | 66.9 | 52.1 | 24.6 | 53.8 | 48.2 |
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+ | **TokenFormer** | 450M | **57.3** | **47.5** | **69.5** | **56.2** | **26.7** | **54.6** | **52.0** |
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  | Pythia | 1B | 56.1 | 47.2 | 70.7 | 57.0 | 27.1 | 53.5 | 51.9 |
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+ | **TokenFormer** | 900M | **64.0** | **55.3** | **72.4** | **59.9** | **30.6** | **56.4** | **56.4** |
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  | GPT-Neo | 1.3B | 57.2 | 48.9 | 71.1 | 56.2 | 25.9 | 54.9 | 52.4 |
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  | OPT | 1.3B | 58.0 | 53.7 | 72.4 | 56.7 | 29.6 | 59.5 | 55.0 |
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  | Pythia | 1.3B | 61.7 | 52.1 | 71.0 | 60.5 | 28.5 | 57.2 | 55.2 |
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  | GPT-Neo | 2.7B | 62.2 | 55.8 | 71.1 | 61.1 | 30.2 | 57.6 | 56.5 |
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  | OPT | 2.7B | 63.6 | 60.6 | 74.8 | 60.8 | 31.3 | 61.0 | 58.7 |
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  | Pythia | 2.8B | 64.7 | 59.3 | 74.0 | 64.1 | 32.9 | 59.7 | 59.1 |
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+ | **TokenFormer** | 1.5B | **64.7** | 60.0 | **74.8** | **64.8** | 32.0 | 59.7 | **59.3** |
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  <figcaption>Zero-shot evaluation of Language Modeling. </figcaption>
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+ </figure>