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fsttModel

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Safetensors
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Training in progress, epoch 8

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Files changed (7) hide show
  1. adapter_model.safetensors +1 -1
  2. runs/Jun03_20-50-07_f28ebe0d2526/events.out.tfevents.1717447816.f28ebe0d2526.34.3 +2 -2
  3. wandb/debug-internal.log +95 -0
  4. wandb/run-20240603_175449-d191dh7n/files/output.log +12 -0
  5. wandb/run-20240603_175449-d191dh7n/files/wandb-summary.json +1 -1
  6. wandb/run-20240603_175449-d191dh7n/logs/debug-internal.log +95 -0
  7. wandb/run-20240603_175449-d191dh7n/run-d191dh7n.wandb +0 -0
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@@ -250,4 +250,16 @@ Time to retrieve answer: 211.99833258299986
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  warnings.warn(
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  /tmp/ipykernel_34/3516238434.py:9: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
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  return {key: torch.tensor(val[idx]) for key, val in self.examples.items()}
 
 
 
 
 
 
 
 
 
 
 
 
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  /opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
 
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  return {key: torch.tensor(val[idx]) for key, val in self.examples.items()}
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wandb/run-20240603_175449-d191dh7n/run-d191dh7n.wandb CHANGED
Binary files a/wandb/run-20240603_175449-d191dh7n/run-d191dh7n.wandb and b/wandb/run-20240603_175449-d191dh7n/run-d191dh7n.wandb differ