End of training

README.md

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+---
+library_name: transformers
+license: cc-by-4.0
+base_model: vesteinn/DanskBERT
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: danskbert_indirect_speech
+  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. -->
+
+# danskbert_indirect_speech
+
+This model is a fine-tuned version of [vesteinn/DanskBERT](https://huggingface.co/vesteinn/DanskBERT) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Accuracy: 0.6698
+- Precision: 0.7042
+- Recall: 0.6698
+- F1: 0.6640
+- Loss: 0.7715
+
+## 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: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- 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: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Accuracy | Precision | Recall | F1     | Validation Loss |
+|:-------------:|:-------:|:----:|:--------:|:---------:|:------:|:------:|:---------------:|
+| No log        | 1.0     | 9    | 0.3820   | 0.1459    | 0.3820 | 0.2112 | 1.1479          |
+| No log        | 2.0     | 18   | 0.3820   | 0.1459    | 0.3820 | 0.2112 | 1.4862          |
+| No log        | 3.0     | 27   | 0.5385   | 0.2900    | 0.5385 | 0.3770 | 1.0168          |
+| No log        | 4.0     | 36   | 0.3820   | 0.1459    | 0.3820 | 0.2112 | 1.0134          |
+| No log        | 5.0     | 45   | 0.4551   | 0.6492    | 0.4551 | 0.3461 | 0.9242          |
+| No log        | 6.0     | 54   | 0.6217   | 0.6269    | 0.6217 | 0.5716 | 0.7808          |
+| No log        | 7.0     | 63   | 0.6183   | 0.6601    | 0.6183 | 0.5446 | 0.7970          |
+| No log        | 8.0     | 72   | 0.4519   | 0.6933    | 0.4519 | 0.3345 | 1.0565          |
+| No log        | 9.0     | 81   | 0.7000   | 0.6985    | 0.7000 | 0.6842 | 0.7125          |
+| No log        | 10.0    | 90   | 0.6480   | 0.6978    | 0.6480 | 0.6395 | 0.7874          |
+| No log        | 11.0    | 99   | 0.6226   | 0.7064    | 0.6226 | 0.6062 | 0.8571          |
+| No log        | 12.0    | 108  | 0.5364   | 0.7104    | 0.5364 | 0.4812 | 1.1975          |
+| No log        | 13.0    | 117  | 0.7423   | 0.7327    | 0.7423 | 0.7336 | 0.6509          |
+| No log        | 14.0    | 126  | 0.7372   | 0.7275    | 0.7372 | 0.7306 | 0.6489          |
+| No log        | 15.0    | 135  | 0.5954   | 0.7039    | 0.5954 | 0.5712 | 0.9821          |
+| No log        | 16.0    | 144  | 0.7372   | 0.7317    | 0.7372 | 0.7258 | 0.6768          |
+| No log        | 17.0    | 153  | 0.6457   | 0.7049    | 0.6457 | 0.6355 | 0.8276          |
+| No log        | 17.8235 | 160  | 0.6698   | 0.7042    | 0.6698 | 0.6640 | 0.7715          |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu124
+- Tokenizers 0.21.0

config.json

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+{
+  "_name_or_path": "vesteinn/DanskBERT",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.47.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50005
+}

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