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--- |
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library_name: transformers |
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language: |
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- en |
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license: mit |
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base_model: JeremiahZ/roberta-base-cola |
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tags: |
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- generated_from_trainer |
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datasets: |
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- glue |
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model-index: |
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- name: roberta-base-relu-cola |
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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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# roberta-base-relu-cola |
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This model is a fine-tuned version of [JeremiahZ/roberta-base-cola](https://huggingface.co/JeremiahZ/roberta-base-cola) on the GLUE COLA dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 1.2395 |
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- eval_model_preparation_time: 0.0024 |
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- eval_matthews_correlation: 0.5652 |
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- eval_runtime: 9.4256 |
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- eval_samples_per_second: 110.656 |
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- eval_steps_per_second: 27.69 |
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- step: 0 |
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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: 1e-5, 2e-5, 3e-5 |
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- train_batch_size: 16 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- num_epochs: 10 |
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The best model was selected based on the highest accuracy, which is the key evaluation metric for this task. |
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### Framework versions |
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- Transformers 4.50.0.dev0 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.3.2 |
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- Tokenizers 0.21.0 |
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