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--- |
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license: apache-2.0 |
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base_model: google/bigbird-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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- precision |
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- recall |
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model-index: |
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- name: bigbird-roberta-base-finetuned-sql-classification-with_schema_question |
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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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# bigbird-roberta-base-finetuned-sql-classification-with_schema_question |
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This model is a fine-tuned version of [google/bigbird-roberta-base](https://huggingface.co/google/bigbird-roberta-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4232 |
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- Accuracy: 0.8337 |
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- F1: 0.8617 |
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- Precision: 0.7971 |
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- Recall: 0.9375 |
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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: 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 | Accuracy | F1 | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 0.6156 | 1.0 | 1290 | 0.4973 | 0.7767 | 0.8292 | 0.7180 | 0.9811 | |
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| 0.4798 | 2.0 | 2580 | 0.4877 | 0.7860 | 0.8358 | 0.7253 | 0.9860 | |
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| 0.4841 | 3.0 | 3870 | 0.4767 | 0.7969 | 0.8400 | 0.7434 | 0.9656 | |
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| 0.4573 | 4.0 | 5160 | 0.4716 | 0.8225 | 0.8513 | 0.7921 | 0.92 | |
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| 0.4048 | 5.0 | 6450 | 0.4232 | 0.8337 | 0.8617 | 0.7971 | 0.9375 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.2 |
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