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--- |
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license: apache-2.0 |
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base_model: sentence-transformers/LaBSE |
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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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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: frozen_news_classifier_ft |
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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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# frozen_news_classifier_ft |
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This model is a fine-tuned version of [sentence-transformers/LaBSE](https://huggingface.co/sentence-transformers/LaBSE) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7314 |
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- Accuracy: 0.7793 |
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- F1: 0.7753 |
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- Precision: 0.7785 |
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- Recall: 0.7793 |
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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: 1e-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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 0.8422 | 1.0 | 3596 | 0.8104 | 0.7681 | 0.7632 | 0.7669 | 0.7681 | |
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| 0.7923 | 2.0 | 7192 | 0.7738 | 0.7711 | 0.7666 | 0.7700 | 0.7711 | |
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| 0.7597 | 3.0 | 10788 | 0.7485 | 0.7754 | 0.7716 | 0.7741 | 0.7754 | |
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| 0.7564 | 4.0 | 14384 | 0.7314 | 0.7793 | 0.7753 | 0.7785 | 0.7793 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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