Training in progress, step 10

README.md

@@ -1,3 +1,54 @@
----
-license: mit
----
+---
+library_name: transformers
+license: mit
+base_model: microsoft/layoutlm-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: repo
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# repo
+
+This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm-base-uncased) on the None dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.52.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.1

config.json

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+{
+  "architectures": [
+    "LayoutLMForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "leer",
+    "1": "Modell 3",
+    "2": "Modell 4",
+    "3": "Menge4",
+    "4": "Modell 1",
+    "5": "M\u00f6belhaus",
+    "6": "Bestellnummer",
+    "7": "Kundennr.",
+    "8": "Var-Ausf 1",
+    "9": "Menge3",
+    "10": "AB-Nummer",
+    "11": "Bezug 3",
+    "12": "Menge2",
+    "13": "Sonderrabatt",
+    "14": "Bezug 1",
+    "15": "Menge1",
+    "16": "LA-Anschrift",
+    "17": "Zusatz 1",
+    "18": "Modell 2",
+    "19": "Kommission",
+    "20": "PN/BM 1",
+    "21": "Termin Kundenwunsch - KW",
+    "22": "Var-Ausf. 3",
+    "23": "Transportraum",
+    "24": "Modell 5",
+    "25": "Zusatz 3",
+    "26": "Holz 3",
+    "27": "Holz 1",
+    "28": "Var-Ausf. 4",
+    "29": "Bezug 4",
+    "30": "Holz 4",
+    "31": "Bezug 2",
+    "32": "Var-Ausf. 2",
+    "33": "Holz 2",
+    "34": "Zusatz 2",
+    "35": "Reserviert am",
+    "36": "Aufpreis 1",
+    "37": "T-Menge 1 Pos 3",
+    "38": "Var-Ausf. 5",
+    "39": "Liefertermin",
+    "40": "Menge5",
+    "41": "Modell 6",
+    "42": "Modell 7",
+    "43": "SA-Schl\u00fcssel 7",
+    "44": "SA-Schl\u00fcssel 1",
+    "45": "PV 3",
+    "46": "Holz 5",
+    "47": "Fadenfarbnr.",
+    "48": "SA-Schl\u00fcssel 2",
+    "49": "Aufpreis 3",
+    "50": "Menge6",
+    "51": "Notizen 4",
+    "52": "Notizen 2",
+    "53": "Ballen ID / Ledernummer",
+    "54": "Var-Ausf. 6",
+    "55": "Gestelltnr.",
+    "56": "Kurzinfo",
+    "57": "PV 1",
+    "58": "PV 2",
+    "59": "AB-Anschrift",
+    "60": "PN/BM 2"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "AB-Anschrift": 59,
+    "AB-Nummer": 10,
+    "Aufpreis 1": 36,
+    "Aufpreis 3": 49,
+    "Ballen ID / Ledernummer": 53,
+    "Bestellnummer": 6,
+    "Bezug 1": 14,
+    "Bezug 2": 31,
+    "Bezug 3": 11,
+    "Bezug 4": 29,
+    "Fadenfarbnr.": 47,
+    "Gestelltnr.": 55,
+    "Holz 1": 27,
+    "Holz 2": 33,
+    "Holz 3": 26,
+    "Holz 4": 30,
+    "Holz 5": 46,
+    "Kommission": 19,
+    "Kundennr.": 7,
+    "Kurzinfo": 56,
+    "LA-Anschrift": 16,
+    "Liefertermin": 39,
+    "Menge1": 15,
+    "Menge2": 12,
+    "Menge3": 9,
+    "Menge4": 3,
+    "Menge5": 40,
+    "Menge6": 50,
+    "Modell 1": 4,
+    "Modell 2": 18,
+    "Modell 3": 1,
+    "Modell 4": 2,
+    "Modell 5": 24,
+    "Modell 6": 41,
+    "Modell 7": 42,
+    "M\u00f6belhaus": 5,
+    "Notizen 2": 52,
+    "Notizen 4": 51,
+    "PN/BM 1": 20,
+    "PN/BM 2": 60,
+    "PV 1": 57,
+    "PV 2": 58,
+    "PV 3": 45,
+    "Reserviert am": 35,
+    "SA-Schl\u00fcssel 1": 44,
+    "SA-Schl\u00fcssel 2": 48,
+    "SA-Schl\u00fcssel 7": 43,
+    "Sonderrabatt": 13,
+    "T-Menge 1 Pos 3": 37,
+    "Termin Kundenwunsch - KW": 21,
+    "Transportraum": 23,
+    "Var-Ausf 1": 8,
+    "Var-Ausf. 2": 32,
+    "Var-Ausf. 3": 22,
+    "Var-Ausf. 4": 28,
+    "Var-Ausf. 5": 38,
+    "Var-Ausf. 6": 54,
+    "Zusatz 1": 17,
+    "Zusatz 2": 34,
+    "Zusatz 3": 25,
+    "leer": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_2d_position_embeddings": 1024,
+  "max_position_embeddings": 512,
+  "model_type": "layoutlm",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.52.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
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