Training in progress, step 610

adapter_model.safetensors

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trainer_peft.log

@@ -375,3 +375,35 @@
 2024-05-30 20:36 - Setup PEFT
 2024-05-30 20:36 - Setup optimizer
 2024-05-30 20:36 - Resume from checkpoint 
+2024-05-31 00:03 - Training complete!!!
+2024-05-31 00:20 - Cuda check
+2024-05-31 00:20 - True
+2024-05-31 00:20 - 1
+2024-05-31 00:20 - Configue Model and tokenizer
+2024-05-31 00:20 - Memory usage in   25.17 GB
+2024-05-31 00:32 - Dataset loaded successfully:
+ train-Jingmei/Pandemic_PMC
+ test -Jingmei/Pandemic_WHO
+2024-05-31 01:26 - Tokenize data: DatasetDict({
+    train: Dataset({
+        features: ['input_ids', 'attention_mask'],
+        num_rows: 469701
+    })
+    test: Dataset({
+        features: ['input_ids', 'attention_mask'],
+        num_rows: 8264
+    })
+})
+2024-05-31 03:25 - Split data into chunks:DatasetDict({
+    train: Dataset({
+        features: ['input_ids', 'attention_mask'],
+        num_rows: 13199845
+    })
+    test: Dataset({
+        features: ['input_ids', 'attention_mask'],
+        num_rows: 198964
+    })
+})
+2024-05-31 03:25 - Setup PEFT
+2024-05-31 03:25 - Setup optimizer
+2024-05-31 03:25 - Resume from checkpoint 

training_args.bin

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