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--- |
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license: apache-2.0 |
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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_AA_IMDB_Top100_WithoutOOC_MultilingualBertBase |
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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_AA_IMDB_Top100_WithoutOOC_MultilingualBertBase |
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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: 0.9456 |
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- Accuracy: 0.7818 |
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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: 12 |
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- eval_batch_size: 12 |
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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: 5 |
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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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| 1.7226 | 1.0 | 2884 | 1.4213 | 0.6833 | |
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| 1.0842 | 2.0 | 5768 | 1.0640 | 0.754 | |
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| 0.682 | 3.0 | 8652 | 0.9793 | 0.7714 | |
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| 0.4733 | 4.0 | 11536 | 0.9500 | 0.7810 | |
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| 0.3064 | 5.0 | 14420 | 0.9456 | 0.7818 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.8.0 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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