Training complete
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README.md
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- generated_from_trainer
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metrics:
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- accuracy
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- precision
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- recall
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- f1
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model-index:
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- name: relatives_labels
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.5758
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- Recall: 0.5057
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- F1: 0.4381
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| No log | 1.0 | 49 | 0.
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| No log | 2.0 | 98 | 0.
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| No log | 3.0 | 147 | 0.
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| No log | 4.0 | 196 | 0.
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| No log | 5.0 | 245 | 0.
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### Framework versions
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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model-index:
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- name: relatives_labels
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6840
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- Accuracy: 0.5758
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- F1: 0.7042
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.0 | 49 | 0.8393 | 0.4141 | 0.0 |
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| No log | 2.0 | 98 | 0.7570 | 0.5859 | 0.7389 |
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| No log | 3.0 | 147 | 0.6867 | 0.5859 | 0.7389 |
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| No log | 4.0 | 196 | 0.6835 | 0.5859 | 0.7389 |
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| No log | 5.0 | 245 | 0.6840 | 0.5758 | 0.7042 |
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### Framework versions
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model.safetensors
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runs/Jun07_19-38-38_e2a7f679267f/events.out.tfevents.1717789126.e2a7f679267f.866.1
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training_args.bin
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size 5112
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