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FineTune_GeneralOnly933282.out

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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: math.DS math.CA
+Abstract: we prove an inequality for holder continuous differential forms on compact manifolds in which the in...
+
+Domain: Computer Science
+Categories: cs.NE
+Abstract: when looking for a solution deterministic methods have the enormous advantage that they do find glob...
+
+Domain: Physics
+Categories: physics.hist-ph quant-ph
+Abstract: maxwells demon was born in and still thrives in modern physics he plays important roles in clarifyin...
+
+Domain: Chemistry
+Categories: nlin.PS
+Abstract: the modulational instability of two interacting waves in a nonlocal kerrtype medium is considered an...
+
+Domain: Statistics
+Categories: astro-ph stat.ME
+Abstract: the identification of increasingly smaller signal from objects observed with a nonperfect instrument...
+
+Domain: Biology
+Categories: q-bio.MN cond-mat.stat-mech
+Abstract: we find that discrete noise of inhibiting signal molecules can greatly delay the extinction of plasm...
+/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 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: 29464
+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: 29536
+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: 29536
+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: 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: 29237
+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: 29586
+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: 29221
+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: 29514
+Vocab size: 30522
+Epoch 1/3:
+Val Accuracy: 0.7306, Val F1: 0.6541
+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: 29602
+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: 29374
+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: 29601
+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: 29535
+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: 29464
+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: 29602
+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: 29280
+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: 29417
+Vocab size: 30522
+Epoch 2/3:
+Val Accuracy: 0.7961, Val F1: 0.7582
+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: 29299
+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: 29577
+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: 29536
+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: 29451
+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: 29454
+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: 29532
+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: 29413
+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: 29586
+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: 29280
+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: 29494
+Vocab size: 30522
+Epoch 3/3:
+Val Accuracy: 0.8204, Val F1: 0.7894
+
+Test Results for General tokenizer:
+Accuracy: 0.8204
+F1 Score: 0.7893
+AUC-ROC: 0.8693
+
+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_GeneralOnly933928.out

@@ -0,0 +1,672 @@
+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: math.OA
+Abstract: a result of akemann anderson and pedersen states that if a sequence of pure states of a calgebra a a...
+
+Domain: Computer Science
+Categories: cs.PL
+Abstract: a rigid loop is a forloop with a counter not accessible to the loop body or any other part of a prog...
+
+Domain: Physics
+Categories: physics.gen-ph
+Abstract: fractional calculus and qdeformed lie algebras are closely related both concepts expand the scope of...
+
+Domain: Chemistry
+Categories: quant-ph nlin.CD
+Abstract: we study scarring phenomena in open quantum systems we show numerical evidence that individual reson...
+
+Domain: Statistics
+Categories: stat.ME
+Abstract: chess and chance are seemingly strange bedfellows luck andor randomness have no apparent role in mov...
+
+Domain: Biology
+Categories: q-bio.MN
+Abstract: in the simplest view of transcriptional regulation the expression of a gene is turned on or off by c...
+/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: 0.6896
+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: 0.7473, Val F1: 0.7221
+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: 0.8081, Val F1: 0.7870
+
+Test Results for All Cluster tokenizer:
+Accuracy: 0.8084
+F1 Score: 0.7874
+AUC-ROC: 0.8421
+
+Training with Final tokenizer:
+Vocabulary size: 15253
+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: 15253
+/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: 15252
+Vocab size: 15253
+/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: 15252
+Vocab size: 15253
+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: 15252
+Vocab size: 15253
+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: 15252
+Vocab size: 15253
+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: 15252
+Vocab size: 15253
+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: 15252
+Vocab size: 15253
+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: 15252
+Vocab size: 15253
+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: 15252
+Vocab size: 15253
+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: 15252
+Vocab size: 15253
+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: 15252
+Vocab size: 15253
+Epoch 1/3:
+Val Accuracy: 0.7096, Val F1: 0.6564
+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: 15252
+Vocab size: 15253
+/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: 15252
+Vocab size: 15253
+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: 15252
+Vocab size: 15253
+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: 15252
+Vocab size: 15253
+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: 15252
+Vocab size: 15253
+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: 15252
+Vocab size: 15253
+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: 15252
+Vocab size: 15253
+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: 15252
+Vocab size: 15253
+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: 15252
+Vocab size: 15253
+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: 15252
+Vocab size: 15253
+Epoch 2/3:
+Val Accuracy: 0.7246, Val F1: 0.6799
+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: 15252
+Vocab size: 15253
+/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: 15252
+Vocab size: 15253
+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: 15252
+Vocab size: 15253
+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: 15252
+Vocab size: 15253
+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: 15252
+Vocab size: 15253
+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: 15252
+Vocab size: 15253
+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: 15252
+Vocab size: 15253
+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: 15252
+Vocab size: 15253
+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: 15252
+Vocab size: 15253
+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: 15252
+Vocab size: 15253
+Epoch 3/3:
+Val Accuracy: 0.7661, Val F1: 0.7440
+
+Test Results for Final tokenizer:
+Accuracy: 0.7661
+F1 Score: 0.7441
+AUC-ROC: 0.8256
+
+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: 29464
+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: 29536
+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: 29402
+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: 29535
+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: 29494
+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: 29454
+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: 29413
+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: 28993
+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: 29602
+Vocab size: 30522
+Epoch 1/3:
+Val Accuracy: 0.7601, Val F1: 0.7079
+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: 29413
+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: 29413
+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: 29098
+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: 29339
+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: 29560
+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: 29464
+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: 29458
+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: 29413
+Vocab size: 30522
+Epoch 2/3:
+Val Accuracy: 0.8002, Val F1: 0.7716
+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: 29413
+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: 29605
+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: 29237
+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: 29292
+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: 29461
+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: 29536
+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: 29566
+Vocab size: 30522
+Epoch 3/3:
+Val Accuracy: 0.8160, Val F1: 0.7785
+
+Test Results for General tokenizer:
+Accuracy: 0.8160
+F1 Score: 0.7785
+AUC-ROC: 0.8630
+
+Summary of Results:
+
+All Cluster Tokenizer:
+Accuracy: 0.8084
+F1 Score: 0.7874
+AUC-ROC: 0.8421
+
+Final Tokenizer:
+Accuracy: 0.7661
+F1 Score: 0.7441
+AUC-ROC: 0.8256
+
+General Tokenizer:
+Accuracy: 0.8160
+F1 Score: 0.7785
+AUC-ROC: 0.8630
+
+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