| ---
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| library_name: transformers
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| license: mit
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| base_model: roberta-base
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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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| - f1
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| model-index:
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| - name: ami-command-recognition-sync-async-weighted
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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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|
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| # ami-command-recognition-sync-async-weighted
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| This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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| It achieves the following results on the evaluation set:
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| - Loss: 1.0080
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| - Accuracy: 0.7578
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| - F1: 0.6533
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|
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| ## Model description
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| More information needed
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|
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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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|
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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: 8
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| - seed: 42
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| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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| - lr_scheduler_type: linear
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| - num_epochs: 3
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| ### Training results
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| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| | No log | 1.0 | 41 | 1.0484 | 0.7578 | 0.6533 |
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| | No log | 2.0 | 82 | 1.0105 | 0.7640 | 0.6779 |
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| | No log | 3.0 | 123 | 1.0080 | 0.7578 | 0.6533 |
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| ### Framework versions
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| - Transformers 4.57.1
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| - Pytorch 2.8.0+cu129
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| - Datasets 4.4.1
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| - Tokenizers 0.22.1
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| |
