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--- |
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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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datasets: |
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- liar |
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metrics: |
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- accuracy |
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model-index: |
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- name: liar_binaryclassifier_roberta_base |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: liar |
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type: liar |
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config: default |
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split: test |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.5770065075921909 |
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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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# liar_binaryclassifier_roberta_base |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the liar dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6621 |
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- Model Preparation Time: 0.0069 |
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- Accuracy: 0.5770 |
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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: 3e-06 |
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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: 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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:--------:| |
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| 0.6934 | 1.0 | 461 | 0.6843 | 0.0069 | 0.5553 | |
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| 0.6859 | 2.0 | 922 | 0.6815 | 0.0069 | 0.5531 | |
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| 0.6774 | 3.0 | 1383 | 0.6666 | 0.0069 | 0.5597 | |
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| 0.6671 | 4.0 | 1844 | 0.6742 | 0.0069 | 0.5748 | |
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| 0.6596 | 5.0 | 2305 | 0.6621 | 0.0069 | 0.5770 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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