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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: distilbert-base-multilingual-cased |
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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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- recall |
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- precision |
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- f1 |
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model-index: |
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- name: distilbert-base-multilingual-cased-aoe-hyper |
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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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# distilbert-base-multilingual-cased-aoe-hyper |
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This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4021 |
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- Accuracy: 0.8799 |
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- Recall: 0.8013 |
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- Precision: 0.7246 |
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- F1: 0.7610 |
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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: 6.292247538797816e-06 |
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- train_batch_size: 8 |
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- eval_batch_size: 16 |
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- seed: 16 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | Precision | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 0.2696 | 1.0 | 654 | 0.3423 | 0.8699 | 0.6090 | 0.7983 | 0.6909 | |
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| 0.4222 | 2.0 | 1308 | 0.3537 | 0.8814 | 0.7596 | 0.7476 | 0.7536 | |
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| 0.3135 | 3.0 | 1962 | 0.3992 | 0.8699 | 0.8205 | 0.6919 | 0.7507 | |
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| 0.2558 | 4.0 | 2616 | 0.4021 | 0.8799 | 0.8013 | 0.7246 | 0.7610 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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