Training in progress, step 40

adapter_model.safetensors

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trainer_peft.log

@@ -247,3 +247,35 @@
 2024-05-29 23:26 - Setup PEFT
 2024-05-29 23:26 - Setup optimizer
 2024-05-29 23:26 - Start training
+2024-05-30 01:58 - Training complete!!!
+2024-05-30 02:00 - Cuda check
+2024-05-30 02:00 - True
+2024-05-30 02:00 - 1
+2024-05-30 02:00 - Configue Model and tokenizer
+2024-05-30 02:00 - Memory usage in   25.17 GB
+2024-05-30 02:00 - Dataset loaded successfully:
+ train-Jingmei/Pandemic_CDC
+ test -Jingmei/Pandemic_WHO
+2024-05-30 02:03 - Tokenize data: DatasetDict({
+    train: Dataset({
+        features: ['input_ids', 'attention_mask'],
+        num_rows: 15208
+    })
+    test: Dataset({
+        features: ['input_ids', 'attention_mask'],
+        num_rows: 8264
+    })
+})
+2024-05-30 02:08 - Split data into chunks:DatasetDict({
+    train: Dataset({
+        features: ['input_ids', 'attention_mask'],
+        num_rows: 364678
+    })
+    test: Dataset({
+        features: ['input_ids', 'attention_mask'],
+        num_rows: 198964
+    })
+})
+2024-05-30 02:08 - Setup PEFT
+2024-05-30 02:08 - Setup optimizer
+2024-05-30 02:08 - Start training

training_args.bin

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