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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: MEHDIE_mBERT |
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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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# MEHDIE_mBERT |
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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: 1.0261 |
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- Perplexity: 2.79 |
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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: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 512 |
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- total_eval_batch_size: 512 |
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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: 5.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:------:|:---------------:| |
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| 1.5096 | 1.0 | 51630 | 1.2459 | |
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| 1.2498 | 2.0 | 103260 | 1.1339 | |
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| 1.1693 | 3.0 | 154890 | 1.0784 | |
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| 1.1233 | 4.0 | 206520 | 1.0425 | |
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| 1.0951 | 5.0 | 258150 | 1.0263 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.3.0a0+ebedce2 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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