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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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- recall |
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- precision |
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- f1 |
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model-index: |
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- name: checkpoint-126-5ep3bsfrmulti |
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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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# checkpoint-126-5ep3bsfrmulti |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0412 |
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- Recall: 1.0 |
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- Precision: 0.9688 |
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- F1: 0.9922 |
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- Roc Auc: 0.9067 |
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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: 5e-05 |
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- train_batch_size: 3 |
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- eval_batch_size: 3 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- training_steps: 97 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Recall | Precision | F1 | Roc Auc | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|:-------:| |
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| 0.1227 | 1.0 | 97 | 0.0412 | 1.0 | 0.9688 | 0.9922 | 0.9067 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.2.0+cu118 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.2 |
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