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--- |
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license: apache-2.0 |
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base_model: google-bert/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: training_output |
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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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# training_output |
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This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 7.1415 |
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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: 0.0003 |
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- train_batch_size: 55 |
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- eval_batch_size: 55 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 7.1623 | 0.2237 | 100 | 7.1515 | |
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| 7.1515 | 0.4474 | 200 | 7.1525 | |
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| 7.1559 | 0.6711 | 300 | 7.1439 | |
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| 7.1529 | 0.8949 | 400 | 7.1464 | |
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| 7.1468 | 1.1186 | 500 | 7.1469 | |
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| 7.1405 | 1.3423 | 600 | 7.1417 | |
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| 7.1446 | 1.5660 | 700 | 7.1403 | |
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| 7.1459 | 1.7897 | 800 | 7.1419 | |
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| 7.1484 | 2.0134 | 900 | 7.1437 | |
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| 7.1426 | 2.2371 | 1000 | 7.1377 | |
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| 7.1426 | 2.4609 | 1100 | 7.1353 | |
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| 7.1441 | 2.6846 | 1200 | 7.1382 | |
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| 7.1393 | 2.9083 | 1300 | 7.1415 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.3.1+cu121 |
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- Tokenizers 0.19.1 |
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