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tillschwoerer
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bert-base-german-cased-gnad10-finetuned-tagesschau-subcategories

Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
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1
tillschwoerer commited on
Commit
ee3f46c
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1 Parent(s): eb12263

Training in progress, step 90

Browse files
Files changed (10) hide show
  1. config.json +8 -8
  2. pytorch_model.bin +1 -1
  3. runs/Dec07_05-08-42_723586c714c1/1670389989.9502726/events.out.tfevents.1670389989.723586c714c1.23.1 +3 -0
  4. runs/Dec07_05-08-42_723586c714c1/1670390049.3293908/events.out.tfevents.1670390049.723586c714c1.23.2 +3 -0
  5. runs/Dec07_05-08-42_723586c714c1/1670390105.5693948/events.out.tfevents.1670390105.723586c714c1.23.3 +3 -0
  6. runs/Dec07_05-08-42_723586c714c1/1670390210.935676/events.out.tfevents.1670390210.723586c714c1.23.4 +3 -0
  7. runs/Dec07_05-08-42_723586c714c1/1670390576.3049703/events.out.tfevents.1670390576.723586c714c1.23.5 +3 -0
  8. runs/Dec07_05-08-42_723586c714c1/1670390682.7062325/events.out.tfevents.1670390682.723586c714c1.23.6 +3 -0
  9. runs/Dec07_05-08-42_723586c714c1/events.out.tfevents.1670389989.723586c714c1.23.0 +3 -0
  10. training_args.bin +2 -2
config.json CHANGED
@@ -20,13 +20,13 @@
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
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  "label2id": {
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- "amerika": 0,
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- "asien": 1,
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- "finanzen": 2,
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- "innenpolitik": 3,
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- "sportschau": 4,
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- "unternehmen": 5,
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- "verbraucher": 6
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  },
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
@@ -37,7 +37,7 @@
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  "position_embedding_type": "absolute",
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  "problem_type": "single_label_classification",
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  "torch_dtype": "float32",
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- "transformers_version": "4.25.1",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 30000
 
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
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  "label2id": {
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+ "LABEL_6": 6
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  },
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
 
37
  "position_embedding_type": "absolute",
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  "problem_type": "single_label_classification",
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  "torch_dtype": "float32",
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+ "transformers_version": "4.20.1",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 30000
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