--- library_name: transformers license: apache-2.0 base_model: google-bert/bert-base-multilingual-cased tags: - generated_from_trainer metrics: - accuracy datasets: - albertmartinez/openalex-topic-title-abstract model-index: - name: openalex-topic-classification-title-abstract results: - task: type: text-classification name: text-classification dataset: name: albertmartinez/openalex-topic-title-abstract type: albertmartinez/openalex-topic-title-abstract split: test metrics: - type: accuracy value: 0.6895704387552961 name: accuracy args: accuracy: 0.6895704387552961 total_time_in_seconds: 2136.2893175369827 samples_per_second: 197.54440399793566 latency_in_seconds: 0.005062153013509054 --- # openalex-topic-classification-title-abstract 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. It achieves the following results on the evaluation set: - Loss: 2.1286 - Accuracy: 0.5287 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 128 - eval_batch_size: 128 - seed: 42 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 10.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:------:|:---------------:|:--------:| | 4.7089 | 1.0 | 26376 | 4.6094 | 0.1920 | | 2.9397 | 2.0 | 52752 | 2.8504 | 0.4195 | | 2.444 | 3.0 | 79128 | 2.4296 | 0.4763 | | 2.1399 | 4.0 | 105504 | 2.2586 | 0.5015 | | 1.9042 | 5.0 | 131880 | 2.1800 | 0.5144 | | 1.7293 | 6.0 | 158256 | 2.1372 | 0.5227 | | 1.5672 | 7.0 | 184632 | 2.1298 | 0.5260 | | 1.4574 | 8.0 | 211008 | 2.1245 | 0.5281 | | 1.3737 | 9.0 | 237384 | 2.1277 | 0.5285 | | 1.3748 | 10.0 | 263760 | 2.1286 | 0.5287 | ### Framework versions - Transformers 4.49.0.dev0 - Pytorch 2.6.0+cu118 - Datasets 2.19.2 - Tokenizers 0.21.0