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_lr5e-05_bs16_train287
+  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_lr5e-05_bs16_train287
+
+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: 0.1534
+- Precision: 0.9532
+- Recall: 0.9571
+- F1: 0.9552
+- Accuracy: 0.9737
+
+## 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: 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   | 18   | 1.0604          | 0.5553    | 0.4655 | 0.5064 | 0.7578   |
+| No log        | 2.0   | 36   | 0.5178          | 0.8104    | 0.8049 | 0.8077 | 0.9048   |
+| No log        | 3.0   | 54   | 0.3230          | 0.9009    | 0.9000 | 0.9005 | 0.9489   |
+| No log        | 4.0   | 72   | 0.2539          | 0.9277    | 0.9174 | 0.9226 | 0.9594   |
+| No log        | 5.0   | 90   | 0.2271          | 0.9369    | 0.9324 | 0.9347 | 0.9640   |
+| No log        | 6.0   | 108  | 0.2010          | 0.9332    | 0.9440 | 0.9386 | 0.9663   |
+| No log        | 7.0   | 126  | 0.1867          | 0.9425    | 0.9411 | 0.9418 | 0.9690   |
+| No log        | 8.0   | 144  | 0.1798          | 0.9402    | 0.9411 | 0.9406 | 0.9684   |
+| No log        | 9.0   | 162  | 0.1824          | 0.9411    | 0.9406 | 0.9408 | 0.9686   |
+| No log        | 10.0  | 180  | 0.1689          | 0.9500    | 0.9440 | 0.9470 | 0.9711   |
+| No log        | 11.0  | 198  | 0.1609          | 0.9547    | 0.9474 | 0.9510 | 0.9726   |
+| No log        | 12.0  | 216  | 0.1543          | 0.9542    | 0.9459 | 0.9500 | 0.9726   |
+| No log        | 13.0  | 234  | 0.1668          | 0.9503    | 0.9334 | 0.9418 | 0.9678   |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- 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
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+  "cls_token": {
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+    "lstrip": false,
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+    "rstrip": false,
+    "single_word": false
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+  "eos_token": {
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+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+  "mask_token": {
+    "content": "[MASK]",
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+    "rstrip": false,
+    "single_word": false
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+  "pad_token": {
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+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+  "sep_token": {
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+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+  "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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+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "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
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+  },
+  "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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