Training complete
Browse files
README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: relatives_psr
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results: []
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# relatives_psr
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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## Model description
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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:
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- eval_batch_size:
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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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### Framework versions
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---
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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: relatives_psr
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results: []
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# relatives_psr
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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: 0.0554
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- Precision: 0.7125
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- Recall: 0.4765
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- F1: 0.4668
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- Accuracy: 0.9791
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## Model description
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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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### 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 | 44 | 0.0591 | 0.8332 | 0.4040 | 0.3670 | 0.9764 |
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| No log | 2.0 | 88 | 0.0541 | 0.7191 | 0.4742 | 0.4308 | 0.9788 |
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| No log | 3.0 | 132 | 0.0562 | 0.7176 | 0.4238 | 0.4357 | 0.9776 |
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| No log | 4.0 | 176 | 0.0544 | 0.7158 | 0.4467 | 0.4316 | 0.9794 |
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| No log | 5.0 | 220 | 0.0554 | 0.7125 | 0.4765 | 0.4668 | 0.9791 |
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### Framework versions
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model.safetensors
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runs/Jun02_22-13-55_9b2eaf8732a9/events.out.tfevents.1717366449.9b2eaf8732a9.2733.2
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training_args.bin
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