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--- |
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license: mit |
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base_model: nlptown/bert-base-multilingual-uncased-sentiment |
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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: model_IMDB_bert_base |
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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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# model_IMDB_bert_base |
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This model is a fine-tuned version of [nlptown/bert-base-multilingual-uncased-sentiment](https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7390 |
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- Accuracy: 0.9287 |
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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: 4 |
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- eval_batch_size: 4 |
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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: 10 |
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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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| 0.4201 | 1.0 | 6250 | 0.4285 | 0.8902 | |
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| 0.3454 | 2.0 | 12500 | 0.3388 | 0.9183 | |
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| 0.2279 | 3.0 | 18750 | 0.3715 | 0.9253 | |
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| 0.1558 | 4.0 | 25000 | 0.4496 | 0.9244 | |
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| 0.1047 | 5.0 | 31250 | 0.5458 | 0.9235 | |
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| 0.0594 | 6.0 | 37500 | 0.6027 | 0.9199 | |
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| 0.0234 | 7.0 | 43750 | 0.5551 | 0.9254 | |
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| 0.0281 | 8.0 | 50000 | 0.6457 | 0.9245 | |
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| 0.0015 | 9.0 | 56250 | 0.7199 | 0.9279 | |
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| 0.0 | 10.0 | 62500 | 0.7390 | 0.9287 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.17.0 |
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- Tokenizers 0.14.0 |
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