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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: google-bert/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: openalex-topic-classification-title-abstract
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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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# openalex-topic-classification-title-abstract
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This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.1286
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- Accuracy: 0.5287
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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: 128
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- eval_batch_size: 128
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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: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10.0
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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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| 4.7089 | 1.0 | 26376 | 4.6094 | 0.1920 |
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| 2.9397 | 2.0 | 52752 | 2.8504 | 0.4195 |
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| 2.444 | 3.0 | 79128 | 2.4296 | 0.4763 |
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| 2.1399 | 4.0 | 105504 | 2.2586 | 0.5015 |
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| 1.9042 | 5.0 | 131880 | 2.1800 | 0.5144 |
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| 1.7293 | 6.0 | 158256 | 2.1372 | 0.5227 |
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| 1.5672 | 7.0 | 184632 | 2.1298 | 0.5260 |
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| 1.4574 | 8.0 | 211008 | 2.1245 | 0.5281 |
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| 1.3737 | 9.0 | 237384 | 2.1277 | 0.5285 |
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| 1.3748 | 10.0 | 263760 | 2.1286 | 0.5287 |
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### Framework versions
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- Transformers 4.49.0.dev0
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- Pytorch 2.6.0+cu118
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- Datasets 2.19.2
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- Tokenizers 0.21.0
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