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--- |
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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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- text-classification |
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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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widget: |
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- text: "Around 0335 GMT , Tab shares were up 19 cents , or 4.4 % , at A $ 4.56 , having earlier set a record high of A $ 4.57 ., Tab shares jumped 20 cents , or 4.6 % , to set a record closing high at A $ 4.57 ." |
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example_title: "not_equivalent" |
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- text: "The stock rose $ 2.11 , or about 11 percent , to close Friday at $ 21.51 on the New York Stock Exchange ., PG & E Corp. shares jumped $ 1.63 or 8 percent to $ 21.03 on the New York Stock Exchange on Friday ." |
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example_title: "equivalent" |
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model-index: |
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- name: platzi-distilroberta-base-mrpc-wgcv |
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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-distilroberta-base-mrpc-wgcv |
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the glue and the mrpc datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4002 |
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- Accuracy: 0.8456 |
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- F1: 0.8835 |
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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: 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: 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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| 0.409 | 2.1739 | 500 | 0.4002 | 0.8456 | 0.8835 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
