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+Loading pytorch-gpu/py3/2.1.1
+  Loading requirement: cuda/11.8.0 nccl/2.18.5-1-cuda cudnn/8.7.0.84-cuda
+    gcc/8.5.0 openmpi/4.1.5-cuda intel-mkl/2020.4 magma/2.7.1-cuda sox/14.4.2
+    sparsehash/2.0.3 libjpeg-turbo/2.1.3 ffmpeg/4.4.4
++ HF_DATASETS_OFFLINE=1
++ TRANSFORMERS_OFFLINE=1
++ python3 OnlyGeneralTokenizer.py
+
+Checking label assignment:
+
+Domain: Mathematics
+Categories: hep-th math-ph math.MP nlin.SI
+Abstract: three new models with vshaped field potentials u are considered a complex scalar field x in dimensio...
+
+Domain: Computer Science
+Categories: cs.AR
+Abstract: this special session adresses the problems that designers face when implementing analog and digital ...
+
+Domain: Physics
+Categories: physics.plasm-ph
+Abstract: starting from the governing equations for a quantum magnetoplasma including the quantum bohm potenti...
+
+Domain: Chemistry
+Categories: nlin.CD
+Abstract: we present recent results on noiseinduced transitions in a nonlinear oscillator with randomly modula...
+
+Domain: Statistics
+Categories: stat.AP
+Abstract: in microarray technology a number of critical steps are required to convert the raw measurements int...
+
+Domain: Biology
+Categories: q-bio.MN
+Abstract: the architecture of biological networks has been reported to exhibit high level of modularity and to...
+/linkhome/rech/genrug01/uft12cr/.local/lib/python3.11/site-packages/transformers/tokenization_utils_base.py:2057: FutureWarning: Calling BertTokenizer.from_pretrained() with the path to a single file or url is deprecated and won't be possible anymore in v5. Use a model identifier or the path to a directory instead.
+  warnings.warn(
+
+Training with All Cluster tokenizer:
+Vocabulary size: 16005
+Could not load pretrained weights from /linkhome/rech/genrug01/uft12cr/bert_Model. Starting with random weights. Error: It looks like the config file at '/linkhome/rech/genrug01/uft12cr/bert_Model/config.json' is not a valid JSON file.
+Initialized model with vocabulary size: 16005
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/OnlyGeneralTokenizer.py:172: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
+  scaler = amp.GradScaler()
+Batch 0:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/OnlyGeneralTokenizer.py:192: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast():
+Batch 100:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 200:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 300:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 400:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 500:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 600:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 700:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 800:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 900:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Epoch 1/3:
+Val Accuracy: 0.7549, Val F1: 0.7014
+Batch 0:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/OnlyGeneralTokenizer.py:192: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast():
+Batch 100:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 200:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 300:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 400:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 500:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 600:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 700:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 800:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 900:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Epoch 2/3:
+Val Accuracy: 0.7937, Val F1: 0.7657
+Batch 0:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/OnlyGeneralTokenizer.py:192: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast():
+Batch 100:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 200:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 300:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 400:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 500:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 600:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 700:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 800:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 900:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Epoch 3/3:
+Val Accuracy: 0.8065, Val F1: 0.7645
+
+Test Results for All Cluster tokenizer:
+Accuracy: 0.8065
+F1 Score: 0.7645
+AUC-ROC: 0.8683
+
+Training with Final tokenizer:
+Vocabulary size: 18524
+Could not load pretrained weights from /linkhome/rech/genrug01/uft12cr/bert_Model. Starting with random weights. Error: It looks like the config file at '/linkhome/rech/genrug01/uft12cr/bert_Model/config.json' is not a valid JSON file.
+Initialized model with vocabulary size: 18524
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/OnlyGeneralTokenizer.py:172: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
+  scaler = amp.GradScaler()
+Batch 0:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/OnlyGeneralTokenizer.py:192: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast():
+Batch 100:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 200:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 300:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 400:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 500:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 600:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 700:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 800:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 900:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Epoch 1/3:
+Val Accuracy: 0.6744, Val F1: 0.6438
+Batch 0:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/OnlyGeneralTokenizer.py:192: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast():
+Batch 100:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 200:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 300:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 400:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 500:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 600:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 700:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 800:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 900:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Epoch 2/3:
+Val Accuracy: 0.7737, Val F1: 0.7343
+Batch 0:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/OnlyGeneralTokenizer.py:192: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast():
+Batch 100:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 200:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 300:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 400:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 500:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 600:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 700:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 800:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 900:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Epoch 3/3:
+Val Accuracy: 0.7975, Val F1: 0.7612
+
+Test Results for Final tokenizer:
+Accuracy: 0.7978
+F1 Score: 0.7615
+AUC-ROC: 0.8035
+
+Training with General tokenizer:
+Vocabulary size: 30522
+Could not load pretrained weights from /linkhome/rech/genrug01/uft12cr/bert_Model. Starting with random weights. Error: It looks like the config file at '/linkhome/rech/genrug01/uft12cr/bert_Model/config.json' is not a valid JSON file.
+Initialized model with vocabulary size: 30522
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/OnlyGeneralTokenizer.py:172: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
+  scaler = amp.GradScaler()
+Batch 0:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29454
+Vocab size: 30522
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/OnlyGeneralTokenizer.py:192: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast():
+Batch 100:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29474
+Vocab size: 30522
+Batch 200:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29413
+Vocab size: 30522
+Batch 300:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29561
+Vocab size: 30522
+Batch 400:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29513
+Vocab size: 30522
+Batch 500:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29413
+Vocab size: 30522
+Batch 600:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29513
+Vocab size: 30522
+Batch 700:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29536
+Vocab size: 30522
+Batch 800:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29513
+Vocab size: 30522
+Batch 900:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29486
+Vocab size: 30522
+Epoch 1/3:
+Val Accuracy: 0.6932, Val F1: 0.6626
+Batch 0:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29513
+Vocab size: 30522
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/OnlyGeneralTokenizer.py:192: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast():
+Batch 100:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29545
+Vocab size: 30522
+Batch 200:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29464
+Vocab size: 30522
+Batch 300:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29178
+Vocab size: 30522
+Batch 400:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29446
+Vocab size: 30522
+Batch 500:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29513
+Vocab size: 30522
+Batch 600:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29536
+Vocab size: 30522
+Batch 700:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29454
+Vocab size: 30522
+Batch 800:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29347
+Vocab size: 30522
+Batch 900:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29535
+Vocab size: 30522
+Epoch 2/3:
+Val Accuracy: 0.7860, Val F1: 0.7438
+Batch 0:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29536
+Vocab size: 30522
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/OnlyGeneralTokenizer.py:192: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast():
+Batch 100:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29598
+Vocab size: 30522
+Batch 200:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29237
+Vocab size: 30522
+Batch 300:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29605
+Vocab size: 30522
+Batch 400:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29577
+Vocab size: 30522
+Batch 500:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29454
+Vocab size: 30522
+Batch 600:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29586
+Vocab size: 30522
+Batch 700:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29536
+Vocab size: 30522
+Batch 800:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29532
+Vocab size: 30522
+Batch 900:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29486
+Vocab size: 30522
+Epoch 3/3:
+Val Accuracy: 0.8062, Val F1: 0.7665
+
+Test Results for General tokenizer:
+Accuracy: 0.8062
+F1 Score: 0.7665
+AUC-ROC: 0.8879
+
+Summary of Results:
+
+All Cluster Tokenizer:
+Accuracy: 0.8065
+F1 Score: 0.7645
+AUC-ROC: 0.8683
+
+Final Tokenizer:
+Accuracy: 0.7978
+F1 Score: 0.7615
+AUC-ROC: 0.8035
+
+General Tokenizer:
+Accuracy: 0.8062
+F1 Score: 0.7665
+AUC-ROC: 0.8879
+
+Class distribution in training set:
+Class Biology: 439 samples
+Class Chemistry: 454 samples
+Class Computer Science: 1358 samples
+Class Mathematics: 9480 samples
+Class Physics: 2733 samples
+Class Statistics: 200 samples

FineTune_withPlots1082275.out

@@ -0,0 +1,1071 @@
+Loading pytorch-gpu/py3/2.1.1
+  Loading requirement: cuda/11.8.0 nccl/2.18.5-1-cuda cudnn/8.7.0.84-cuda
+    gcc/8.5.0 openmpi/4.1.5-cuda intel-mkl/2020.4 magma/2.7.1-cuda sox/14.4.2
+    sparsehash/2.0.3 libjpeg-turbo/2.1.3 ffmpeg/4.4.4
++ HF_DATASETS_OFFLINE=1
++ TRANSFORMERS_OFFLINE=1
++ python3 FIneTune_withPlots.py
+
+Checking label assignment:
+
+Domain: Mathematics
+Categories: math.KT math.RT
+Abstract: we compute the hochschild cohomology and homology of a class of quantum exterior algebras with coeff...
+
+Domain: Computer Science
+Categories: cs.AI cs.LO
+Abstract: this paper presents experiments on common knowledge logic conducted with the help of the proof assis...
+
+Domain: Physics
+Categories: physics.ins-det physics.gen-ph
+Abstract: soil bulk density affects water storage water and nutrient movement and plant root activity in the s...
+
+Domain: Chemistry
+Categories: nlin.CD
+Abstract: two chaotic systems which interact by mutually exchanging a signal built from their delayed internal...
+
+Domain: Statistics
+Categories: stat.ME stat.AP
+Abstract: it is difficult to accurately estimate the rates of rape and domestic violence due to the sensitive ...
+
+Domain: Biology
+Categories: q-bio.PE
+Abstract: the distribution of genetic polymorphisms in a population contains information about the mutation ra...
+/linkhome/rech/genrug01/uft12cr/.local/lib/python3.11/site-packages/transformers/tokenization_utils_base.py:2057: FutureWarning: Calling BertTokenizer.from_pretrained() with the path to a single file or url is deprecated and won't be possible anymore in v5. Use a model identifier or the path to a directory instead.
+  warnings.warn(
+
+Training with All Cluster tokenizer:
+Vocabulary size: 16005
+Could not load pretrained weights from /gpfswork/rech/fmr/uft12cr/finetuneAli/Bert_Model. Starting with random weights. Error: Error while deserializing header: HeaderTooLarge
+Initialized model with vocabulary size: 16005
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/FIneTune_withPlots.py:173: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
+  scaler = amp.GradScaler()
+Batch 0:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/FIneTune_withPlots.py:202: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast():
+Batch 100:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 200:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 300:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 400:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 500:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 600:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 700:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 800:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 900:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Epoch 1/5:
+Train Loss: 0.8860, Train Accuracy: 0.7123
+Val Loss: 0.6624, Val Accuracy: 0.7811, Val F1: 0.7137
+Batch 0:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/FIneTune_withPlots.py:202: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast():
+Batch 100:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 200:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 300:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 400:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 500:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 600:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 700:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 800:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 900:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Epoch 2/5:
+Train Loss: 0.6292, Train Accuracy: 0.7928
+Val Loss: 0.6377, Val Accuracy: 0.7942, Val F1: 0.7572
+Batch 0:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/FIneTune_withPlots.py:202: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast():
+Batch 100:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 200:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 300:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 400:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 500:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 600:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 700:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 800:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 900:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Epoch 3/5:
+Train Loss: 0.5420, Train Accuracy: 0.8283
+Val Loss: 0.6224, Val Accuracy: 0.7983, Val F1: 0.7744
+Batch 0:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/FIneTune_withPlots.py:202: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast():
+Batch 100:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 200:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 300:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 400:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 500:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 600:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 700:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 800:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 900:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Epoch 4/5:
+Train Loss: 0.4496, Train Accuracy: 0.8583
+Val Loss: 0.6285, Val Accuracy: 0.8109, Val F1: 0.7863
+Batch 0:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/FIneTune_withPlots.py:202: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast():
+Batch 100:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 200:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 300:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 400:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 500:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 600:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 700:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 800:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Batch 900:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 16003
+Vocab size: 16005
+Epoch 5/5:
+Train Loss: 0.3687, Train Accuracy: 0.8816
+Val Loss: 0.6460, Val Accuracy: 0.8111, Val F1: 0.7860
+
+Test Results for All Cluster tokenizer:
+Accuracy: 0.8111
+F1 Score: 0.7860
+AUC-ROC: 0.8681
+
+Training with Final tokenizer:
+Vocabulary size: 18524
+Could not load pretrained weights from /gpfswork/rech/fmr/uft12cr/finetuneAli/Bert_Model. Starting with random weights. Error: Error while deserializing header: HeaderTooLarge
+Initialized model with vocabulary size: 18524
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/FIneTune_withPlots.py:173: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
+  scaler = amp.GradScaler()
+Batch 0:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/FIneTune_withPlots.py:202: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast():
+Batch 100:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 200:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 300:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 400:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 500:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 600:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 700:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 800:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 900:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Epoch 1/5:
+Train Loss: 0.9291, Train Accuracy: 0.6943
+Val Loss: 0.7526, Val Accuracy: 0.7593, Val F1: 0.6923
+Batch 0:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/FIneTune_withPlots.py:202: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast():
+Batch 100:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 200:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 300:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 400:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 500:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 600:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 700:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 800:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 900:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Epoch 2/5:
+Train Loss: 0.6952, Train Accuracy: 0.7752
+Val Loss: 0.6884, Val Accuracy: 0.7705, Val F1: 0.7291
+Batch 0:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/FIneTune_withPlots.py:202: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast():
+Batch 100:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 200:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 300:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 400:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 500:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 600:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 700:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 800:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 900:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Epoch 3/5:
+Train Loss: 0.6147, Train Accuracy: 0.7993
+Val Loss: 0.6780, Val Accuracy: 0.7874, Val F1: 0.7596
+Batch 0:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/FIneTune_withPlots.py:202: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast():
+Batch 100:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 200:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 300:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 400:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 500:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 600:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 700:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 800:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 900:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Epoch 4/5:
+Train Loss: 0.5494, Train Accuracy: 0.8242
+Val Loss: 0.6878, Val Accuracy: 0.7920, Val F1: 0.7655
+Batch 0:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/FIneTune_withPlots.py:202: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast():
+Batch 100:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 200:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 300:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 400:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 500:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 600:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 700:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 800:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Batch 900:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 18523
+Vocab size: 18524
+Epoch 5/5:
+Train Loss: 0.4703, Train Accuracy: 0.8558
+Val Loss: 0.7217, Val Accuracy: 0.8046, Val F1: 0.7712
+
+Test Results for Final tokenizer:
+Accuracy: 0.8043
+F1 Score: 0.7709
+AUC-ROC: 0.8254
+
+Training with General tokenizer:
+Vocabulary size: 30522
+Could not load pretrained weights from /gpfswork/rech/fmr/uft12cr/finetuneAli/Bert_Model. Starting with random weights. Error: Error while deserializing header: HeaderTooLarge
+Initialized model with vocabulary size: 30522
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/FIneTune_withPlots.py:173: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
+  scaler = amp.GradScaler()
+Batch 0:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29464
+Vocab size: 30522
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/FIneTune_withPlots.py:202: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast():
+Batch 100:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29521
+Vocab size: 30522
+Batch 200:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29446
+Vocab size: 30522
+Batch 300:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29320
+Vocab size: 30522
+Batch 400:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29336
+Vocab size: 30522
+Batch 500:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29280
+Vocab size: 30522
+Batch 600:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29130
+Vocab size: 30522
+Batch 700:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29536
+Vocab size: 30522
+Batch 800:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29445
+Vocab size: 30522
+Batch 900:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29469
+Vocab size: 30522
+Epoch 1/5:
+Train Loss: 0.9230, Train Accuracy: 0.6966
+Val Loss: 0.7881, Val Accuracy: 0.7465, Val F1: 0.6718
+Batch 0:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29462
+Vocab size: 30522
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/FIneTune_withPlots.py:202: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast():
+Batch 100:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29464
+Vocab size: 30522
+Batch 200:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29477
+Vocab size: 30522
+Batch 300:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29464
+Vocab size: 30522
+Batch 400:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29402
+Vocab size: 30522
+Batch 500:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 28993
+Vocab size: 30522
+Batch 600:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29238
+Vocab size: 30522
+Batch 700:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29558
+Vocab size: 30522
+Batch 800:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29433
+Vocab size: 30522
+Batch 900:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29339
+Vocab size: 30522
+Epoch 2/5:
+Train Loss: 0.6269, Train Accuracy: 0.7939
+Val Loss: 0.6425, Val Accuracy: 0.7959, Val F1: 0.7705
+Batch 0:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29160
+Vocab size: 30522
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/FIneTune_withPlots.py:202: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast():
+Batch 100:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29464
+Vocab size: 30522
+Batch 200:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29535
+Vocab size: 30522
+Batch 300:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29160
+Vocab size: 30522
+Batch 400:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29536
+Vocab size: 30522
+Batch 500:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29458
+Vocab size: 30522
+Batch 600:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29560
+Vocab size: 30522
+Batch 700:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29605
+Vocab size: 30522
+Batch 800:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29513
+Vocab size: 30522
+Batch 900:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29532
+Vocab size: 30522
+Epoch 3/5:
+Train Loss: 0.5377, Train Accuracy: 0.8242
+Val Loss: 0.6742, Val Accuracy: 0.7797, Val F1: 0.7674
+Batch 0:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29494
+Vocab size: 30522
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/FIneTune_withPlots.py:202: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast():
+Batch 100:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29461
+Vocab size: 30522
+Batch 200:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29454
+Vocab size: 30522
+Batch 300:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29536
+Vocab size: 30522
+Batch 400:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29602
+Vocab size: 30522
+Batch 500:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29238
+Vocab size: 30522
+Batch 600:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29536
+Vocab size: 30522
+Batch 700:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29292
+Vocab size: 30522
+Batch 800:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29390
+Vocab size: 30522
+Batch 900:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29464
+Vocab size: 30522
+Epoch 4/5:
+Train Loss: 0.4776, Train Accuracy: 0.8478
+Val Loss: 0.5951, Val Accuracy: 0.8095, Val F1: 0.7732
+Batch 0:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 28987
+Vocab size: 30522
+/gpfsdswork/projects/rech/fmr/uft12cr/finetuneAli/FIneTune_withPlots.py:202: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with amp.autocast():
+Batch 100:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29605
+Vocab size: 30522
+Batch 200:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29083
+Vocab size: 30522
+Batch 300:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29532
+Vocab size: 30522
+Batch 400:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29605
+Vocab size: 30522
+Batch 500:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29417
+Vocab size: 30522
+Batch 600:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29280
+Vocab size: 30522
+Batch 700:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29464
+Vocab size: 30522
+Batch 800:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29390
+Vocab size: 30522
+Batch 900:
+input_ids shape: torch.Size([16, 256])
+attention_mask shape: torch.Size([16, 256])
+labels shape: torch.Size([16])
+input_ids max value: 29441
+Vocab size: 30522
+Epoch 5/5:
+Train Loss: 0.3833, Train Accuracy: 0.8814
+Val Loss: 0.6523, Val Accuracy: 0.7882, Val F1: 0.7792
+
+Test Results for General tokenizer:
+Accuracy: 0.7885
+F1 Score: 0.7796
+AUC-ROC: 0.8664
+
+Summary of Results:
+
+All Cluster Tokenizer:
+Accuracy: 0.8111
+F1 Score: 0.7860
+AUC-ROC: 0.8681
+
+Final Tokenizer:
+Accuracy: 0.8043
+F1 Score: 0.7709
+AUC-ROC: 0.8254
+
+General Tokenizer:
+Accuracy: 0.7885
+F1 Score: 0.7796
+AUC-ROC: 0.8664
+
+Class distribution in training set:
+Class Biology: 439 samples
+Class Chemistry: 454 samples
+Class Computer Science: 1358 samples
+Class Mathematics: 9480 samples
+Class Physics: 2733 samples
+Class Statistics: 200 samples