Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google-bert/bert-base-multilingual-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: fosh-detector-v2-tmp
+  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. -->
+
+# fosh-detector-v2-tmp
+
+This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1027
+- Accuracy: 0.9684
+- Precision: 0.8378
+- Recall: 0.8692
+- F1: 0.8532
+
+## 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: 128
+- eval_batch_size: 128
+- 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: 4
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.3176        | 0.1305 | 50   | 0.2282          | 0.9150   | 0.6981    | 0.3458 | 0.4625 |
+| 0.1735        | 0.2611 | 100  | 0.1324          | 0.9526   | 0.8242    | 0.7009 | 0.7576 |
+| 0.1358        | 0.3916 | 150  | 0.1283          | 0.9615   | 0.8542    | 0.7664 | 0.8079 |
+| 0.1332        | 0.5222 | 200  | 0.1142          | 0.9664   | 0.8411    | 0.8411 | 0.8411 |
+| 0.1125        | 0.6527 | 250  | 0.1268          | 0.9634   | 0.85      | 0.7944 | 0.8213 |
+| 0.1022        | 0.7833 | 300  | 0.1251          | 0.9644   | 0.7983    | 0.8879 | 0.8407 |
+| 0.1107        | 0.9138 | 350  | 0.0972          | 0.9644   | 0.8381    | 0.8224 | 0.8302 |
+| 0.1017        | 1.0444 | 400  | 0.1070          | 0.9654   | 0.8396    | 0.8318 | 0.8357 |
+| 0.0925        | 1.1749 | 450  | 0.0977          | 0.9664   | 0.8288    | 0.8598 | 0.8440 |
+| 0.0834        | 1.3055 | 500  | 0.0867          | 0.9674   | 0.8936    | 0.7850 | 0.8358 |
+| 0.0748        | 1.4360 | 550  | 0.0951          | 0.9704   | 0.8348    | 0.8972 | 0.8649 |
+| 0.0697        | 1.5666 | 600  | 0.0950          | 0.9713   | 0.8611    | 0.8692 | 0.8651 |
+| 0.0818        | 1.6971 | 650  | 0.0871          | 0.9674   | 0.8136    | 0.8972 | 0.8533 |
+| 0.073         | 1.8277 | 700  | 0.0813          | 0.9684   | 0.8319    | 0.8785 | 0.8545 |
+| 0.0742        | 1.9582 | 750  | 0.0841          | 0.9713   | 0.875     | 0.8505 | 0.8626 |
+| 0.0599        | 2.0888 | 800  | 0.0926          | 0.9713   | 0.8824    | 0.8411 | 0.8612 |
+| 0.0522        | 2.2193 | 850  | 0.1015          | 0.9674   | 0.8426    | 0.8505 | 0.8465 |
+| 0.0581        | 2.3499 | 900  | 0.1000          | 0.9694   | 0.88      | 0.8224 | 0.8502 |
+| 0.0562        | 2.4804 | 950  | 0.1066          | 0.9674   | 0.8364    | 0.8598 | 0.8479 |
+| 0.0553        | 2.6110 | 1000 | 0.0989          | 0.9674   | 0.8190    | 0.8879 | 0.8520 |
+| 0.0546        | 2.7415 | 1050 | 0.0921          | 0.9694   | 0.8725    | 0.8318 | 0.8517 |
+| 0.0541        | 2.8721 | 1100 | 0.0920          | 0.9644   | 0.8034    | 0.8785 | 0.8393 |
+| 0.0494        | 3.0026 | 1150 | 0.0981          | 0.9713   | 0.8611    | 0.8692 | 0.8651 |
+| 0.0358        | 3.1332 | 1200 | 0.1033          | 0.9713   | 0.8679    | 0.8598 | 0.8638 |
+| 0.038         | 3.2637 | 1250 | 0.1109          | 0.9684   | 0.8378    | 0.8692 | 0.8532 |
+| 0.0408        | 3.3943 | 1300 | 0.0996          | 0.9684   | 0.8205    | 0.8972 | 0.8571 |
+| 0.0456        | 3.5248 | 1350 | 0.0976          | 0.9684   | 0.8440    | 0.8598 | 0.8519 |
+| 0.0367        | 3.6554 | 1400 | 0.1075          | 0.9694   | 0.8455    | 0.8692 | 0.8571 |
+| 0.0332        | 3.7859 | 1450 | 0.1081          | 0.9684   | 0.8440    | 0.8598 | 0.8519 |
+| 0.0376        | 3.9164 | 1500 | 0.1027          | 0.9684   | 0.8378    | 0.8692 | 0.8532 |
+
+
+### Framework versions
+
+- Transformers 4.50.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.3.2
+- Tokenizers 0.21.1

config.json

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+{
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.50.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 105879
+}

model.safetensors

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+size 669455360

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
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "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": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+size 5368