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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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datasets: |
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- albertmartinez/openalex-topic-title-abstract |
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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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- task: |
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type: text-classification |
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name: text-classification |
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dataset: |
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name: albertmartinez/openalex-topic-title-abstract |
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type: albertmartinez/openalex-topic-title-abstract |
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split: test |
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metrics: |
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- type: accuracy |
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value: 0.6895704387552961 |
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name: accuracy |
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args: |
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accuracy: 0.6895704387552961 |
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total_time_in_seconds: 2136.2893175369827 |
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samples_per_second: 197.54440399793566 |
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latency_in_seconds: 0.005062153013509054 |
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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 |
