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--- |
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license: apache-2.0 |
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base_model: bert-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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model-index: |
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- name: Bert-Multilingual-Balanced-trimmed-10epoch |
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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-Multilingual-Balanced-trimmed-10epoch |
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/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: 1.5212 |
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- Accuracy: 0.48 |
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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: 10 |
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- eval_batch_size: 10 |
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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: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 4 | 1.1339 | 0.32 | |
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| No log | 2.0 | 8 | 1.0996 | 0.48 | |
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| No log | 3.0 | 12 | 1.1665 | 0.36 | |
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| No log | 4.0 | 16 | 1.1651 | 0.44 | |
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| No log | 5.0 | 20 | 1.1689 | 0.4 | |
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| No log | 6.0 | 24 | 1.2189 | 0.32 | |
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| No log | 7.0 | 28 | 1.1908 | 0.44 | |
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| No log | 8.0 | 32 | 1.1355 | 0.52 | |
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| No log | 9.0 | 36 | 1.2280 | 0.4 | |
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| No log | 10.0 | 40 | 1.3308 | 0.4 | |
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| No log | 11.0 | 44 | 1.3048 | 0.48 | |
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| No log | 12.0 | 48 | 1.3897 | 0.44 | |
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| No log | 13.0 | 52 | 1.3561 | 0.44 | |
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| No log | 14.0 | 56 | 1.3551 | 0.52 | |
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| No log | 15.0 | 60 | 1.5895 | 0.4 | |
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| No log | 16.0 | 64 | 1.7362 | 0.36 | |
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| No log | 17.0 | 68 | 1.6214 | 0.4 | |
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| No log | 18.0 | 72 | 1.5556 | 0.4 | |
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| No log | 19.0 | 76 | 1.5258 | 0.48 | |
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| No log | 20.0 | 80 | 1.5212 | 0.48 | |
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### Framework versions |
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- Transformers 4.35.0.dev0 |
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- Pytorch 1.13.1 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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