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bert-finetuned-ner

Token Classification
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Training complete

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Files changed (6) hide show
  1. README.md +2 -4
  2. config.json +8 -12
  3. model.safetensors +2 -2
  4. runs/Jun10_08-54-38_1c45d5ff7702/events.out.tfevents.1718009697.1c45d5ff7702.278.0 +3 -0
  5. runs/Jun10_09-07-28_1c45d5ff7702/events.out.tfevents.1718010453.1c45d5ff7702.278.1 +3 -0
  6. training_args.bin +1 -1
README.md CHANGED
@@ -3,8 +3,6 @@ license: mit
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  base_model: ukr-models/xlm-roberta-base-uk
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  tags:
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  - generated_from_trainer
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- datasets:
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- - conll2003
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  model-index:
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  - name: bert-finetuned-ner
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  results: []
@@ -15,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # bert-finetuned-ner
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- This model is a fine-tuned version of [ukr-models/xlm-roberta-base-uk](https://huggingface.co/ukr-models/xlm-roberta-base-uk) on the conll2003 dataset.
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  ## Model description
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@@ -46,7 +44,7 @@ The following hyperparameters were used during training:
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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 | 20 | 1.9275 | 0.0065 | 0.0545 | 0.0116 | 0.0337 |
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  ### Framework versions
 
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  base_model: ukr-models/xlm-roberta-base-uk
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: bert-finetuned-ner
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  results: []
 
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  # bert-finetuned-ner
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+ This model is a fine-tuned version of [ukr-models/xlm-roberta-base-uk](https://huggingface.co/ukr-models/xlm-roberta-base-uk) on the None dataset.
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  ## Model description
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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 | 3 | 2.2127 | 0.0947 | 0.3333 | 0.1475 | 0.0840 |
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  ### Framework versions
config.json CHANGED
@@ -12,26 +12,22 @@
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  "hidden_size": 768,
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  "id2label": {
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  "0": "O",
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- "1": "B-PER",
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- "2": "I-PER",
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  "3": "B-ORG",
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  "4": "I-ORG",
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- "5": "B-LOC",
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- "6": "I-LOC",
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- "7": "B-MISC",
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- "8": "I-MISC"
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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": 5,
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- "B-MISC": 7,
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  "B-ORG": 3,
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- "B-PER": 1,
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- "I-LOC": 6,
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- "I-MISC": 8,
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  "I-ORG": 4,
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- "I-PER": 2,
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  "O": 0
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  },
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  "layer_norm_eps": 1e-05,
 
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  "hidden_size": 768,
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  "id2label": {
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  "0": "O",
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+ "1": "B-ACT",
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+ "2": "I-ACT",
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  "3": "B-ORG",
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  "4": "I-ORG",
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+ "5": "B-HST",
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+ "6": "I-HST"
 
 
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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-ACT": 1,
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+ "B-HST": 5,
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  "B-ORG": 3,
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+ "I-ACT": 2,
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+ "I-HST": 6,
 
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  "I-ORG": 4,
 
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  "O": 0
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  },
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  "layer_norm_eps": 1e-05,
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