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End of training

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: bert-base-multilingual-cased
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - precision
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+ - recall
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+ - f1
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+ - accuracy
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+ model-index:
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+ - name: uner-bert-ner
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # uner-bert-ner
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+
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+ This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1354
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+ - Precision: 0.8267
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+ - Recall: 0.8707
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+ - F1: 0.8481
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+ - Accuracy: 0.9640
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 144 | 0.1496 | 0.7687 | 0.7971 | 0.7826 | 0.9533 |
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+ | No log | 2.0 | 288 | 0.1429 | 0.7719 | 0.8584 | 0.8129 | 0.9573 |
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+ | No log | 3.0 | 432 | 0.1267 | 0.8014 | 0.8682 | 0.8335 | 0.9629 |
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+ | 0.1628 | 4.0 | 576 | 0.1316 | 0.8206 | 0.8723 | 0.8457 | 0.9644 |
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+ | 0.1628 | 5.0 | 720 | 0.1354 | 0.8267 | 0.8707 | 0.8481 | 0.9640 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.0
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+ - Pytorch 2.0.0
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+ - Datasets 2.14.5
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+ - Tokenizers 0.13.3
config.json ADDED
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+ {
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+ "_name_or_path": "bert-base-multilingual-cased",
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+ "architectures": [
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+ "BertForTokenClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "directionality": "bidi",
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "DATE",
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+ "1": "DESIGNATION",
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+ "2": "LOCATION",
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+ "3": "NUMBER",
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+ "4": "O",
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+ "5": "ORGANIZATION",
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+ "6": "PERSON",
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+ "7": "TIME"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "DATE": 0,
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+ "DESIGNATION": 1,
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+ "LOCATION": 2,
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+ "NUMBER": 3,
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+ "O": 4,
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+ "ORGANIZATION": 5,
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+ "PERSON": 6,
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+ "TIME": 7
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "pooler_fc_size": 768,
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+ "pooler_num_attention_heads": 12,
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+ "pooler_num_fc_layers": 3,
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+ "pooler_size_per_head": 128,
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+ "pooler_type": "first_token_transform",
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+ "position_embedding_type": "absolute",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.33.0",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 119547
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+ }
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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