End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert-base-multilingual-cased
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: BERT_B08
+  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. -->
+
+# BERT_B08
+
+This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3054
+- Precision: 0.6335
+- Recall: 0.6849
+- F1: 0.6582
+- Accuracy: 0.9094
+
+## 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: 4e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.3792        | 1.0   | 92   | 0.3446          | 0.6004    | 0.5913 | 0.5958 | 0.8982   |
+| 0.2782        | 2.0   | 184  | 0.2911          | 0.6485    | 0.6664 | 0.6573 | 0.9110   |
+| 0.1736        | 3.0   | 276  | 0.2886          | 0.6570    | 0.6730 | 0.6649 | 0.9123   |
+| 0.1434        | 4.0   | 368  | 0.2974          | 0.6481    | 0.6763 | 0.6619 | 0.9109   |
+| 0.1422        | 5.0   | 460  | 0.3054          | 0.6335    | 0.6849 | 0.6582 | 0.9094   |
+
+
+### Framework versions
+
+- Transformers 4.33.3
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.4
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "distilbert-base-multilingual-cased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForTokenClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "O",
+    "1": "B-Organisation",
+    "2": "I-Organisation",
+    "3": "B-Person",
+    "4": "I-Person",
+    "5": "B-Location",
+    "6": "I-Location",
+    "7": "B-Money",
+    "8": "I-Money",
+    "9": "B-Temporal",
+    "10": "I-Temporal",
+    "11": "B-Weapon",
+    "12": "I-Weapon",
+    "13": "B-MilitaryPlatform",
+    "14": "I-MilitaryPlatform"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "B-Location": 5,
+    "B-MilitaryPlatform": 13,
+    "B-Money": 7,
+    "B-Organisation": 1,
+    "B-Person": 3,
+    "B-Temporal": 9,
+    "B-Weapon": 11,
+    "I-Location": 6,
+    "I-MilitaryPlatform": 14,
+    "I-Money": 8,
+    "I-Organisation": 2,
+    "I-Person": 4,
+    "I-Temporal": 10,
+    "I-Weapon": 12,
+    "O": 0
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "output_past": true,
+  "pad_token_id": 0,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.3",
+  "vocab_size": 119547
+}

pytorch_model.bin

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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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+{
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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