Training complete
Browse files- README.md +14 -2
- config.json +1 -5
- model.safetensors +2 -2
- runs/Jun10_11-24-10_1c45d5ff7702/events.out.tfevents.1718018654.1c45d5ff7702.278.2 +3 -0
- training_args.bin +1 -1
README.md
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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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- 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:
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### Training results
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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 |
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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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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-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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It achieves the following results on the evaluation set:
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- Loss: 1.6570
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- Precision: 0.0917
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- Recall: 0.5882
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- F1: 0.1587
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- Accuracy: 0.1101
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## Model description
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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: 2
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### Training results
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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 | 1.7579 | 0.0917 | 0.5882 | 0.1587 | 0.1101 |
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| No log | 2.0 | 6 | 1.6570 | 0.0917 | 0.5882 | 0.1587 | 0.1101 |
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### Framework versions
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config.json
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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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"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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},
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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-ORG": 3,
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"I-ACT": 2,
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"I-ORG": 4,
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"O": 0
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},
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model.safetensors
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runs/Jun10_11-24-10_1c45d5ff7702/events.out.tfevents.1718018654.1c45d5ff7702.278.2
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training_args.bin
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