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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: google-bert/bert-base-multilingual-cased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: demo-ossbert-50k |
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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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# demo-ossbert-50k |
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This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-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: 1.4372 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| No log | 0.0762 | 200 | 2.2789 | |
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| No log | 0.1524 | 400 | 2.0486 | |
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| No log | 0.2287 | 600 | 1.9096 | |
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| No log | 0.3049 | 800 | 1.8096 | |
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| No log | 0.3811 | 1000 | 1.7513 | |
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| No log | 0.4573 | 1200 | 1.6634 | |
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| No log | 0.5335 | 1400 | 1.5938 | |
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| No log | 0.6098 | 1600 | 1.5390 | |
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| No log | 0.6860 | 1800 | 1.5192 | |
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| No log | 0.7622 | 2000 | 1.4866 | |
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| No log | 0.8384 | 2200 | 1.4687 | |
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| No log | 0.9146 | 2400 | 1.4471 | |
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| No log | 0.9909 | 2600 | 1.4372 | |
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### Framework versions |
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- Transformers 4.57.2 |
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- Pytorch 2.9.0+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.22.1 |
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