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ArabicT5-17GB-large

Text2Text Generation
Transformers
PyTorch
t5
text-generation-inference
Inference Endpoints
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@@ -12,7 +12,7 @@ This model adapt T5 on Arabic Language by pre-training T5 on ArabicWikipedia, Ma
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  | AraT5-Base | 768 | 12 | 12 | 110K |TPUv3-8 | 1M | 128 | 1.0x |248GB 29B tokens (MSA + Tweets) | 69.16/82.82 |
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  | AraT5-Base-MSA | 768 | 12 | 12 | 110K |TPUv3-8 | 1M | 128 | 1.0x |70GB (MSA) | 68.51/82.66 |
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  | AraT5-Base-Tweets| 768 | 12 | 12 | 110K |TPUv3-8 | 1M | 128 | 1.0x |178GB (Tweets) | 64.39/78.22 |
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- | mT5-Base | 768 | 12 | 12 | 250K |TPUv3-32 | 1M | 1024 | 8.0x |6.3T tokens (mC4)| 71.55/83.78 |
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  | ArabicT5-Base | 512 | 8 | 20 | 32K |TPUv3-32 | 256K | 256 | 0.5x |17GB (MSA) | 72.75/85.49 |
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  | ArabicT5-Large | 768 | 12 | 16 | 32K |TPUv3-128 | 500K | 512 | 2.0x |17GB (MSA) | 74.27/86.37 |
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  | **ArabicT5-xLarge** | **768** | **12** | **36** | **32K** |**TPUv3-128** | **500K** | **512** | **2.0x** |**17GB (MSA)** | **74.38/86.60** |
 
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  | AraT5-Base | 768 | 12 | 12 | 110K |TPUv3-8 | 1M | 128 | 1.0x |248GB 29B tokens (MSA + Tweets) | 69.16/82.82 |
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  | AraT5-Base-MSA | 768 | 12 | 12 | 110K |TPUv3-8 | 1M | 128 | 1.0x |70GB (MSA) | 68.51/82.66 |
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  | AraT5-Base-Tweets| 768 | 12 | 12 | 110K |TPUv3-8 | 1M | 128 | 1.0x |178GB (Tweets) | 64.39/78.22 |
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+ | mT5-Base | 768 | 12 | 12 | 250K |TPUv3-32 | 1M | 1024 | 8.0x |6.3T tokens (mC4)| 72.53/85.04 |
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  | ArabicT5-Base | 512 | 8 | 20 | 32K |TPUv3-32 | 256K | 256 | 0.5x |17GB (MSA) | 72.75/85.49 |
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  | ArabicT5-Large | 768 | 12 | 16 | 32K |TPUv3-128 | 500K | 512 | 2.0x |17GB (MSA) | 74.27/86.37 |
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  | **ArabicT5-xLarge** | **768** | **12** | **36** | **32K** |**TPUv3-128** | **500K** | **512** | **2.0x** |**17GB (MSA)** | **74.38/86.60** |