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--- |
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library_name: transformers |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: albert-category-classification-rob-dset |
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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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# albert-category-classification-rob-dset |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 1.1897 |
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- eval_model_preparation_time: 0.0047 |
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- eval_accuracy: 0.5857 |
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- eval_f1: 0.5798 |
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- eval_runtime: 99.8449 |
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- eval_samples_per_second: 30.047 |
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- eval_steps_per_second: 1.883 |
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- step: 0 |
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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: 16 |
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- eval_batch_size: 16 |
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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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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.5.0+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.19.1 |
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