End of training

README.md

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+---
+library_name: transformers
+license: cc-by-nc-sa-4.0
+base_model: ufal/robeczech-base
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: robeczech_lr3e-05_bs16_train75
+  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. -->
+
+# robeczech_lr3e-05_bs16_train75
+
+This model is a fine-tuned version of [ufal/robeczech-base](https://huggingface.co/ufal/robeczech-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3039
+- Precision: 0.8942
+- Recall: 0.9062
+- F1: 0.9001
+- Accuracy: 0.9484
+
+## 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: 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: 30
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 5    | 1.7660          | 0.0       | 0.0    | 0.0    | 0.5666   |
+| No log        | 2.0   | 10   | 1.5595          | 0.0       | 0.0    | 0.0    | 0.5666   |
+| No log        | 3.0   | 15   | 1.3682          | 0.4364    | 0.0116 | 0.0226 | 0.5716   |
+| No log        | 4.0   | 20   | 1.2001          | 0.4255    | 0.0855 | 0.1423 | 0.6030   |
+| No log        | 5.0   | 25   | 1.0674          | 0.4077    | 0.3201 | 0.3587 | 0.7005   |
+| No log        | 6.0   | 30   | 0.9535          | 0.5608    | 0.5258 | 0.5427 | 0.7865   |
+| No log        | 7.0   | 35   | 0.8478          | 0.6840    | 0.6741 | 0.6790 | 0.8470   |
+| No log        | 8.0   | 40   | 0.7533          | 0.7179    | 0.7030 | 0.7104 | 0.8625   |
+| No log        | 9.0   | 45   | 0.6674          | 0.7420    | 0.7470 | 0.7445 | 0.8771   |
+| No log        | 10.0  | 50   | 0.6049          | 0.7620    | 0.7697 | 0.7658 | 0.8870   |
+| No log        | 11.0  | 55   | 0.5427          | 0.7914    | 0.7842 | 0.7878 | 0.8981   |
+| No log        | 12.0  | 60   | 0.5077          | 0.8333    | 0.8469 | 0.8400 | 0.9192   |
+| No log        | 13.0  | 65   | 0.4678          | 0.8465    | 0.8411 | 0.8438 | 0.9226   |
+| No log        | 14.0  | 70   | 0.4384          | 0.8567    | 0.8634 | 0.8600 | 0.9293   |
+| No log        | 15.0  | 75   | 0.4112          | 0.8652    | 0.8648 | 0.8650 | 0.9324   |
+| No log        | 16.0  | 80   | 0.3910          | 0.8679    | 0.8759 | 0.8719 | 0.9345   |
+| No log        | 17.0  | 85   | 0.3803          | 0.8730    | 0.8764 | 0.8747 | 0.9362   |
+| No log        | 18.0  | 90   | 0.3703          | 0.8755    | 0.8759 | 0.8757 | 0.9364   |
+| No log        | 19.0  | 95   | 0.3635          | 0.8739    | 0.8836 | 0.8788 | 0.9374   |
+| No log        | 20.0  | 100  | 0.3544          | 0.8804    | 0.8783 | 0.8794 | 0.9380   |
+| No log        | 21.0  | 105  | 0.3439          | 0.8780    | 0.8860 | 0.8820 | 0.9397   |
+| No log        | 22.0  | 110  | 0.3402          | 0.8770    | 0.8885 | 0.8827 | 0.9393   |
+| No log        | 23.0  | 115  | 0.3394          | 0.8829    | 0.8807 | 0.8818 | 0.9391   |
+| No log        | 24.0  | 120  | 0.3335          | 0.8822    | 0.8822 | 0.8822 | 0.9397   |
+| No log        | 25.0  | 125  | 0.3281          | 0.8819    | 0.8870 | 0.8844 | 0.9412   |
+| No log        | 26.0  | 130  | 0.3265          | 0.8799    | 0.8880 | 0.8839 | 0.9410   |
+| No log        | 27.0  | 135  | 0.3253          | 0.8827    | 0.8904 | 0.8865 | 0.9420   |
+| No log        | 28.0  | 140  | 0.3256          | 0.8862    | 0.8909 | 0.8885 | 0.9427   |
+| No log        | 29.0  | 145  | 0.3246          | 0.8865    | 0.8904 | 0.8885 | 0.9424   |
+| No log        | 30.0  | 150  | 0.3238          | 0.8848    | 0.8899 | 0.8873 | 0.9422   |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.1

config.json

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+{
+  "architectures": [
+    "RobertaForTokenClassification"
+  ],
+  "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": "O",
+    "1": "B-key",
+    "2": "B-information",
+    "3": "B-name",
+    "4": "B-rank",
+    "5": "B-birth_date",
+    "6": "B-nationality",
+    "7": "B-death_date",
+    "8": "B-funeral_date",
+    "9": "B-grave_location",
+    "10": "B-grave_id",
+    "11": "B-information_source",
+    "12": "B-death_book"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_10": 10,
+    "LABEL_11": 11,
+    "LABEL_12": 12,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5,
+    "LABEL_6": 6,
+    "LABEL_7": 7,
+    "LABEL_8": 8,
+    "LABEL_9": 9
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.51.3",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 51997
+}

model.safetensors

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+size 501604780

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "[PAD]",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "2": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "3": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "51960": {
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+      "lstrip": true,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "[CLS]",
+  "eos_token": "[SEP]",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "[UNK]"
+}

training_args.bin

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