End of training

README.md

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+---
+library_name: transformers
+base_model: UWB-AIR/Czert-B-base-cased
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: czert_lr2e-05_bs4_train30
+  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. -->
+
+# czert_lr2e-05_bs4_train30
+
+This model is a fine-tuned version of [UWB-AIR/Czert-B-base-cased](https://huggingface.co/UWB-AIR/Czert-B-base-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4259
+- Precision: 0.7591
+- Recall: 0.7503
+- F1: 0.7547
+- Accuracy: 0.8737
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 8    | 1.2561          | 0.3778    | 0.0657 | 0.1119 | 0.5927   |
+| No log        | 2.0   | 16   | 0.9862          | 0.5449    | 0.2226 | 0.3161 | 0.6603   |
+| No log        | 3.0   | 24   | 0.7937          | 0.5639    | 0.4944 | 0.5269 | 0.7622   |
+| No log        | 4.0   | 32   | 0.6571          | 0.6368    | 0.5394 | 0.5841 | 0.7888   |
+| No log        | 5.0   | 40   | 0.5763          | 0.6643    | 0.6248 | 0.6439 | 0.8192   |
+| No log        | 6.0   | 48   | 0.5207          | 0.7080    | 0.6557 | 0.6809 | 0.8363   |
+| No log        | 7.0   | 56   | 0.4794          | 0.7364    | 0.7084 | 0.7221 | 0.8568   |
+| No log        | 8.0   | 64   | 0.4624          | 0.7461    | 0.7108 | 0.7280 | 0.8596   |
+| No log        | 9.0   | 72   | 0.4481          | 0.7609    | 0.7344 | 0.7474 | 0.8686   |
+| No log        | 10.0  | 80   | 0.4440          | 0.7622    | 0.7320 | 0.7468 | 0.8681   |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.5.1+cu124
+- Datasets 3.3.1
+- Tokenizers 0.20.0

config.json

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+{
+  "_name_or_path": "UWB-AIR/Czert-B-base-cased",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "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": {
+    "B-birth_date": 5,
+    "B-death_book": 12,
+    "B-death_date": 7,
+    "B-funeral_date": 8,
+    "B-grave_id": 10,
+    "B-grave_location": 9,
+    "B-information": 2,
+    "B-information_source": 11,
+    "B-key": 1,
+    "B-name": 3,
+    "B-nationality": 6,
+    "B-rank": 4,
+    "O": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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+oid sha256:21e172d325fbda46312bfac0977334886dbfd6a16cbdfc47d35b78a1dac653ba
+size 435629924

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
+    },
+    "1": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "4": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": false,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+oid sha256:9b6447d1cf577526577aab6dfbb1851393c07d2e5bae3ec14439260ee0592a4f
+size 5304