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bert-base-NER-finetuned-ner

Token Classification
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bert
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End of training

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  1. README.md +38 -5
  2. config.json +8 -18
  3. model.safetensors +2 -2
  4. training_args.bin +1 -1
README.md CHANGED
@@ -3,6 +3,11 @@ license: mit
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  base_model: dslim/bert-base-NER
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  tags:
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  - generated_from_trainer
 
 
 
 
 
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  model-index:
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  - name: bert-base-NER-finetuned-ner
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  results: []
@@ -14,6 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
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  # bert-base-NER-finetuned-ner
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  This model is a fine-tuned version of [dslim/bert-base-NER](https://huggingface.co/dslim/bert-base-NER) on an unknown dataset.
 
 
 
 
 
 
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  ## Model description
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@@ -32,16 +43,38 @@ More information needed
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  ### Training hyperparameters
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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: 4
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  - eval_batch_size: 4
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  - seed: 42
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- - gradient_accumulation_steps: 4
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- - total_train_batch_size: 16
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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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- - mixed_precision_training: Native AMP
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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  base_model: dslim/bert-base-NER
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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: bert-base-NER-finetuned-ner
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  results: []
 
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  # bert-base-NER-finetuned-ner
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  This model is a fine-tuned version of [dslim/bert-base-NER](https://huggingface.co/dslim/bert-base-NER) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2391
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+ - Precision: 0.9245
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+ - Recall: 0.9186
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+ - F1: 0.9216
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+ - Accuracy: 0.9168
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 2e-06
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  - train_batch_size: 4
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  - eval_batch_size: 4
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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: 10
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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 | 0.37 | 100 | 0.5115 | 0.8204 | 0.8719 | 0.8454 | 0.8200 |
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+ | No log | 0.75 | 200 | 0.3808 | 0.8684 | 0.8766 | 0.8725 | 0.8600 |
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+ | No log | 1.12 | 300 | 0.3315 | 0.8900 | 0.8865 | 0.8882 | 0.8799 |
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+ | No log | 1.49 | 400 | 0.3069 | 0.9036 | 0.8917 | 0.8976 | 0.8921 |
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+ | 0.5306 | 1.87 | 500 | 0.2908 | 0.9066 | 0.8978 | 0.9022 | 0.8980 |
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+ | 0.5306 | 2.24 | 600 | 0.2783 | 0.9114 | 0.9061 | 0.9087 | 0.9048 |
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+ | 0.5306 | 2.61 | 700 | 0.2729 | 0.9151 | 0.9123 | 0.9137 | 0.9096 |
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+ | 0.5306 | 2.99 | 800 | 0.2628 | 0.9157 | 0.9086 | 0.9121 | 0.9077 |
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+ | 0.5306 | 3.36 | 900 | 0.2600 | 0.9207 | 0.9123 | 0.9165 | 0.9107 |
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+ | 0.3037 | 3.73 | 1000 | 0.2539 | 0.9188 | 0.9134 | 0.9161 | 0.9110 |
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+ | 0.3037 | 4.1 | 1100 | 0.2488 | 0.9229 | 0.9178 | 0.9203 | 0.9148 |
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+ | 0.3037 | 4.48 | 1200 | 0.2449 | 0.9225 | 0.9170 | 0.9198 | 0.9146 |
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+ | 0.3037 | 4.85 | 1300 | 0.2466 | 0.9230 | 0.9177 | 0.9203 | 0.9155 |
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+ | 0.3037 | 5.22 | 1400 | 0.2415 | 0.9229 | 0.9188 | 0.9208 | 0.9161 |
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+ | 0.2668 | 5.6 | 1500 | 0.2413 | 0.9237 | 0.9189 | 0.9213 | 0.9164 |
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+ | 0.2668 | 5.97 | 1600 | 0.2391 | 0.9245 | 0.9186 | 0.9216 | 0.9168 |
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+ | 0.2668 | 6.34 | 1700 | 0.2399 | 0.9245 | 0.9178 | 0.9211 | 0.9162 |
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+ | 0.2668 | 6.72 | 1800 | 0.2369 | 0.9239 | 0.9181 | 0.9210 | 0.9164 |
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+ | 0.2668 | 7.09 | 1900 | 0.2390 | 0.9239 | 0.9183 | 0.9211 | 0.9164 |
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+
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  ### Framework versions
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config.json CHANGED
@@ -10,28 +10,18 @@
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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": "O",
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- "1": "B-MISC",
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- "2": "I-MISC",
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- "3": "B-PER",
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- "4": "I-PER",
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- "5": "B-ORG",
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- "6": "I-ORG",
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- "7": "B-LOC",
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- "8": "I-LOC"
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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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- "B-LOC": 7,
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- "B-MISC": 1,
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- "B-ORG": 5,
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- "B-PER": 3,
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- "I-LOC": 8,
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- "I-MISC": 2,
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- "I-ORG": 6,
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- "I-PER": 4,
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- "O": 0
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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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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 768,
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  "id2label": {
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+ "0": "LABEL_0",
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+ "1": "LABEL_1",
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+ "2": "LABEL_2",
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+ "3": "LABEL_3"
 
 
 
 
 
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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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+ "LABEL_0": 0,
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+ "LABEL_1": 1,
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+ "LABEL_2": 2,
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+ "LABEL_3": 3
 
 
 
 
 
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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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