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README.md
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@@ -41,6 +41,88 @@ The following hyperparameters were used during training:
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## Training and evaluation data
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We conducted two sets of evaluations: automatic evaluation on downstream NLP tasks and human evaluation on user-oriented instructions. For more detail, please refer to our [paper]().
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## Use
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## Training and evaluation data
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We conducted two sets of evaluations: automatic evaluation on downstream NLP tasks and human evaluation on user-oriented instructions. For more detail, please refer to our [paper]().
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## Model Models
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You can download LaMini model series as follow. Note that not all models are performing as well. Models with ✩ are those with the best overall performance given their size/architecture. More details can be seen in our paper.
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<table>
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<caption>
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LaMini Language Models collection.
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</caption>
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<thead>
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<tr>
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<th>Name</th>
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<th>Architecture</th>
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<th>Initialization</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td>LaMini-T5-61M</td>
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<td>encoder-decoder</td>
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<td>T5-small</td>
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</tr>
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<tr>
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<td>LaMini-T5-223M</td>
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<td>encoder-decoder</td>
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<td>T5-base</td>
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</tr>
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<tr>
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<td>LaMini-T5-738M</td>
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<td>encoder-decoder</td>
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<td>T5-large</td>
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</tr>
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<tr>
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<td>LaMini-Flan-T5-77M</td>
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<td>encoder-decoder</td>
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<td>Flan-T5-small</td>
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</tr>
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<tr>
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<td>LaMini-Flan-T5-248M</td>
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<td>encoder-decoder</td>
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<td>Flan-T5-base</td>
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</tr>
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<tr>
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<td>LaMini-Flan-T5-783M</td>
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<td>encoder-decoder</td>
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<td>Flan-T5-large</td>
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</tr>
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<tr>
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<td>LaMini-Cb-111M</td>
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<td>decoder-only</td>
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<td>Cerebras-GPT-111M</td>
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</tr>
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<tr>
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<td>LaMini-Cb-256M</td>
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<td>decoder-only</td>
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<td>Cerebras-GPT-256M</td>
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</tr>
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<tr>
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<td>LaMini-Cb-590M</td>
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<td>decoder-only</td>
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<td>Cerebras-GPT-590M</td>
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</tr>
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<tr>
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<td>LaMini-Cb-1.3B</td>
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<td>decoder-only</td>
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<td>Cerebras-GPT-1.3B</td>
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</tr>
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<tr>
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<td>LaMini-GPT-124M</td>
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<td>decoder-only</td>
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<td>GPT-2</td>
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</tr>
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<tr>
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<td>LaMini-GPT-774M</td>
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<td>decoder-only</td>
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<td>GPT-2 large</td>
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</tr>
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<tr>
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<td>LaMini-GPT-1.5B</td>
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<td>decoder-only</td>
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<td>GPT-2 xl</td>
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</tr>
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</tbody>
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</table>
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## Use
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