Text2Text Generation
Transformers
Safetensors
mt5
Inference Endpoints
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@@ -177,7 +177,7 @@ mask_filler("shop làm ăn như cái <mask>", top_k=10)
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  We fine-tune `5CD-AI/visocial-T5-base` on 3 downstream tasks with `transformers` library with the following configuration:
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  - seed: 42
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  - training_epochs: 4
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- - train_batch_size: 4
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  - gradient_accumulation_steps: 8
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  - learning_rate: 3e-4
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  - lr_scheduler_type: linear
 
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  We fine-tune `5CD-AI/visocial-T5-base` on 3 downstream tasks with `transformers` library with the following configuration:
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  - seed: 42
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  - training_epochs: 4
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+ - train_batch_size: 4
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  - gradient_accumulation_steps: 8
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  - learning_rate: 3e-4
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  - lr_scheduler_type: linear