| --- |
| tags: |
| - generated_from_trainer |
| metrics: |
| - precision |
| - recall |
| - f1 |
| - accuracy |
| model-index: |
| - name: relatives_psr_seq |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # relatives_psr_seq |
|
|
| This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6642 |
| - Precision: 0.5052 |
| - Recall: 0.4082 |
| - F1: 0.4051 |
| - Accuracy: 0.7670 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
| | No log | 1.0 | 49 | 0.7285 | 0.7125 | 0.3284 | 0.2862 | 0.7611 | |
| | No log | 2.0 | 98 | 0.6789 | 0.6397 | 0.3400 | 0.3098 | 0.7685 | |
| | No log | 3.0 | 147 | 0.6739 | 0.5247 | 0.3754 | 0.3685 | 0.7672 | |
| | No log | 4.0 | 196 | 0.6650 | 0.4600 | 0.3984 | 0.3886 | 0.7555 | |
| | No log | 5.0 | 245 | 0.6642 | 0.5052 | 0.4082 | 0.4051 | 0.7670 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.41.2 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.19.2 |
| - Tokenizers 0.19.1 |
|
|
