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BatchSize_64_Metrics.txt

@@ -1,8 +1,8 @@
-Date:  05_07, 08:39
-Total Training Time: 0.023433695347777707 hours
+Date:  05_07, 08:34
+Total Training Time: 0.015301895239722398 hours
 Batch Size: 64
 Eval Strategy: epoch
 Early Stopping: epoch
 Early Stopping Patience: 4
 Best Model Metric: loss
-{'eval_loss': 0.10757462680339813, 'eval_accuracy': 0.9596044603408374, 'eval_f1': 0.9594828010297849, 'eval_runtime': 0.8654, 'eval_samples_per_second': 5492.115, 'eval_steps_per_second': 86.663, 'epoch': 6.0}
+{'eval_loss': 0.11054467409849167, 'eval_accuracy': 0.9642857142857143, 'eval_f1': 0.9767572108653039, 'eval_runtime': 0.508, 'eval_samples_per_second': 4574.688, 'eval_steps_per_second': 72.833, 'epoch': 7.0}

config.json

@@ -9,15 +9,13 @@
   "dropout": 0.1,
   "hidden_dim": 3072,
   "id2label": {
-    "0": "Lab",
-    "1": "Imaging",
-    "2": "Device Integration"
+    "0": "LIS",
+    "1": "Other"
   },
   "initializer_range": 0.02,
   "label2id": {
-    "Device Integration": 2,
-    "Imaging": 1,
-    "Lab": 0
+    "LIS": 0,
+    "Other": 1
   },
   "max_position_embeddings": 512,
   "model_type": "distilbert",

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:19a05d3162280fbcc7b08bac7850bf43c9f221de63ef69e938c64579fec70c42
+size 267832560

training_args.bin

@@ -1,3 +1,3 @@
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 size 4728