End of training
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- runs/Nov11_22-03-21_14ce3e7f05e8/events.out.tfevents.1762898633.14ce3e7f05e8.723.0 +3 -0
- runs/Nov11_22-27-41_14ce3e7f05e8/events.out.tfevents.1762900062.14ce3e7f05e8.723.1 +3 -0
- runs/Nov11_22-38-47_14ce3e7f05e8/events.out.tfevents.1762900728.14ce3e7f05e8.723.2 +3 -0
- runs/Nov11_22-38-47_14ce3e7f05e8/events.out.tfevents.1762900914.14ce3e7f05e8.723.3 +3 -0
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README.md
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# multi-wiki-qa-gn-bert-tiny-cased
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This model is a fine-tuned version of [mmaguero/gn-bert-tiny-cased](https://huggingface.co/mmaguero/gn-bert-tiny-cased) on an unknown dataset.
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## Model description
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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# multi-wiki-qa-gn-bert-tiny-cased
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This model is a fine-tuned version of [mmaguero/gn-bert-tiny-cased](https://huggingface.co/mmaguero/gn-bert-tiny-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.5804
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## Model description
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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model.safetensors
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