bigbird-roberta-base-finetuned-sql-classification-with_schema_question – AI Model by PatWang | AlphaNeural AI

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PatWang/
bigbird-roberta-base-finetuned-sql-classification-with_schema_question

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text-classification

generated_from_trainer

google/bigbird-roberta-base

autotrain_compatible

endpoints_compatible

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bigbird-roberta-base-finetuned-sql-classification-with_schema_question

This model is a fine-tuned version of google/bigbird-roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4232
Accuracy: 0.8337
F1: 0.8617
Precision: 0.7971
Recall: 0.9375

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.6156	1.0	1290	0.4973	0.7767	0.8292	0.7180	0.9811
0.4798	2.0	2580	0.4877	0.7860	0.8358	0.7253	0.9860
0.4841	3.0	3870	0.4767	0.7969	0.8400	0.7434	0.9656
0.4573	4.0	5160	0.4716	0.8225	0.8513	0.7921	0.92
0.4048	5.0	6450	0.4232	0.8337	0.8617	0.7971	0.9375

Framework versions

Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2