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--- |
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license: apache-2.0 |
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base_model: bert-base-multilingual-uncased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert-base-multilingual-uncased-finetuned-hp |
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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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# bert-base-multilingual-uncased-finetuned-hp |
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This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9471 |
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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: 2e-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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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.6813 | 1.0 | 66 | 2.4897 | |
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| 2.4377 | 2.0 | 132 | 2.2871 | |
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| 2.2739 | 3.0 | 198 | 2.1468 | |
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| 2.1432 | 4.0 | 264 | 2.1158 | |
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| 2.058 | 5.0 | 330 | 2.0199 | |
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| 2.0181 | 6.0 | 396 | 1.9629 | |
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| 1.9669 | 7.0 | 462 | 2.0044 | |
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| 1.9437 | 8.0 | 528 | 2.0210 | |
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| 1.9289 | 9.0 | 594 | 1.8997 | |
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| 1.9102 | 10.0 | 660 | 1.9474 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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