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--- |
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library_name: transformers |
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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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- f1 |
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model-index: |
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- name: results_bert_full |
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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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# results_bert_full |
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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 the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5777 |
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- Accuracy: 0.5291 |
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- F1: 0.5313 |
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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 adamw_torch 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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| No log | 1.0 | 258 | 1.1025 | 0.4399 | 0.3521 | |
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| 1.0765 | 2.0 | 516 | 1.0620 | 0.4535 | 0.3657 | |
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| 1.0765 | 3.0 | 774 | 1.0407 | 0.4496 | 0.3876 | |
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| 0.9785 | 4.0 | 1032 | 1.0211 | 0.5097 | 0.5038 | |
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| 0.9785 | 5.0 | 1290 | 1.0746 | 0.5116 | 0.5006 | |
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| 0.8198 | 6.0 | 1548 | 1.0384 | 0.5155 | 0.5122 | |
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| 0.8198 | 7.0 | 1806 | 1.1387 | 0.5446 | 0.5447 | |
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| 0.6294 | 8.0 | 2064 | 1.2842 | 0.5310 | 0.5327 | |
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| 0.6294 | 9.0 | 2322 | 1.4142 | 0.5252 | 0.5288 | |
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| 0.4711 | 10.0 | 2580 | 1.5777 | 0.5291 | 0.5313 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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