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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_seq |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# relatives_psr_seq |
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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: 0.6376 |
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- Precision: 0.6453 |
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- Recall: 0.2937 |
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- F1: 0.2919 |
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- Accuracy: 0.7824 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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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: 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 | 0.7001 | 0.6678 | 0.2208 | 0.2122 | 0.7718 | |
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| No log | 2.0 | 88 | 0.6490 | 0.6596 | 0.2806 | 0.2749 | 0.7818 | |
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| No log | 3.0 | 132 | 0.6615 | 0.5962 | 0.2484 | 0.2518 | 0.7794 | |
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| No log | 4.0 | 176 | 0.6732 | 0.5933 | 0.2792 | 0.2793 | 0.7815 | |
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| No log | 5.0 | 220 | 0.6376 | 0.6453 | 0.2937 | 0.2919 | 0.7824 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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