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--- |
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license: apache-2.0 |
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base_model: retrieva-jp/bert-1.3b |
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tags: |
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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: out |
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results: [] |
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--- |
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# retriva-bert-preference-classifier |
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This model is a fine-tuned version of [retrieva-jp/bert-1.3b](https://huggingface.co/retrieva-jp/bert-1.3b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4714 |
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- Accuracy: 0.737 |
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- Precision: 0.7423 |
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- Recall: 0.726 |
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- F1: 0.7341 |
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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: 16 |
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- eval_batch_size: 16 |
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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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- training_steps: 1000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 0.6438 | 0.0080 | 100 | 0.6116 | 0.663 | 0.8721 | 0.382 | 0.5313 | |
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| 0.5113 | 0.0160 | 200 | 0.5442 | 0.699 | 0.6736 | 0.772 | 0.7195 | |
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| 0.4512 | 0.0240 | 300 | 0.5119 | 0.717 | 0.8359 | 0.54 | 0.6561 | |
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| 0.3916 | 0.0321 | 400 | 0.4936 | 0.702 | 0.7295 | 0.642 | 0.6830 | |
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| 0.3806 | 0.0401 | 500 | 0.4763 | 0.715 | 0.7708 | 0.612 | 0.6823 | |
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| 0.3581 | 0.0481 | 600 | 0.4597 | 0.754 | 0.75 | 0.762 | 0.7560 | |
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| 0.3308 | 0.0561 | 700 | 0.4690 | 0.742 | 0.7738 | 0.684 | 0.7261 | |
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| 0.3458 | 0.0641 | 800 | 0.4703 | 0.737 | 0.7423 | 0.726 | 0.7341 | |
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| 0.3475 | 0.0721 | 900 | 0.4728 | 0.737 | 0.7495 | 0.712 | 0.7303 | |
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| 0.3435 | 0.0801 | 1000 | 0.4714 | 0.737 | 0.7423 | 0.726 | 0.7341 | |
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### Evaluation on test split |
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### Framework versions |
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- Transformers 4.43.1 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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