Model save
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README.md
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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: distilroberta-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: platzi-osvaldo-course-mrpc-glue-osvaldo-trejo
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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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# platzi-osvaldo-course-mrpc-glue-osvaldo-trejo
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0336
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- Accuracy: 0.8260
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- F1: 0.8774
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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: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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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: linear
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- num_epochs: 5
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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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| 0.5207 | 1.0893 | 500 | 0.4251 | 0.8284 | 0.8694 |
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| 0.3566 | 2.1786 | 1000 | 0.9369 | 0.8211 | 0.8717 |
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| 0.2331 | 3.2680 | 1500 | 1.0557 | 0.8309 | 0.8848 |
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| 0.1073 | 4.3573 | 2000 | 1.0336 | 0.8260 | 0.8774 |
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### Framework versions
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- Transformers 4.46.3
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- Pytorch 2.5.1+cu121
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- Datasets 3.2.0
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- Tokenizers 0.20.3
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model.safetensors
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