End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: distilbert/distilbert-base-german-cased
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+model-index:
+- name: flausch_span_distilbert-base-german-cased_non_labeled_spans
+  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. -->
+
+# flausch_span_distilbert-base-german-cased_non_labeled_spans
+
+This model is a fine-tuned version of [distilbert/distilbert-base-german-cased](https://huggingface.co/distilbert/distilbert-base-german-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2143
+- Model Preparation Time: 0.0024
+- Precision: 0.5603
+- Recall: 0.6253
+- F1: 0.5910
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- 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: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Model Preparation Time | Precision | Recall | F1     |
+|:-------------:|:------:|:----:|:---------------:|:----------------------:|:---------:|:------:|:------:|
+| 0.3189        | 0.4233 | 750  | 0.2246          | 0.0024                 | 0.3939    | 0.4756 | 0.4309 |
+| 0.2206        | 0.8465 | 1500 | 0.2186          | 0.0024                 | 0.4805    | 0.5244 | 0.5015 |
+| 0.1828        | 1.2698 | 2250 | 0.2091          | 0.0024                 | 0.5080    | 0.6035 | 0.5516 |
+| 0.1553        | 1.6930 | 3000 | 0.2026          | 0.0024                 | 0.5214    | 0.6182 | 0.5657 |
+| 0.1519        | 2.1163 | 3750 | 0.2118          | 0.0024                 | 0.5476    | 0.6153 | 0.5795 |
+| 0.1195        | 2.5395 | 4500 | 0.2127          | 0.0024                 | 0.5580    | 0.6262 | 0.5902 |
+| 0.1187        | 2.9628 | 5250 | 0.2143          | 0.0024                 | 0.5603    | 0.6253 | 0.5910 |
+
+
+### Framework versions
+
+- Transformers 4.52.4
+- Pytorch 2.6.0+cu124
+- Datasets 2.14.4
+- Tokenizers 0.21.1

config.json

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+{
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForTokenClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "O",
+    "1": "B-span",
+    "2": "I-span"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "B-span": 1,
+    "I-span": 2,
+    "O": 0
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "output_past": true,
+  "pad_token_id": 0,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": true,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.52.4",
+  "vocab_size": 31102
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:518712d6eaadf72735e9dddc21774eb0544aa72837855e3850bae35862110e5c
+size 267254852

special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "104": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+oid sha256:6893db8035f624205f2d76c388be8600ddcfbd4a77839ced0c82ebcfe4ec0183
+size 5368