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--- |
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license: apache-2.0 |
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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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metrics: |
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- accuracy |
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model-index: |
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- name: distilroberta-base-finetuned-LoRA-RTE |
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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: glue |
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type: glue |
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args: rte |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.6209386281588448 |
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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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# distilroberta-base-finetuned-lora-rte |
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the glue dataset. |
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It achieves the following results on the evaluation set: |
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- Accuracy: 0.6209 |
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- trainable model parameters: 1181954 |
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- all model parameters: 83301892 |
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- percentage of trainable model parameters: 1.42% |
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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-04 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- weight_decay: 0.01 |
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- rank: 32 |
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- lora_alpha: 16 |
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- lora_dropout: 0.05 |
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- num_epochs: 4 |
