jb_sytem_bin_judge_base_qa – AI Model by GeorgeDaDude | AlphaNeural AI

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GeorgeDaDude/
jb_sytem_bin_judge_base_qa

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text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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jb_sytem_bin_judge_base_qa

This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5387
Accuracy: 0.8955
Recall: 0.8948
Precision: 0.8563
F1: 0.8751

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: 6
eval_batch_size: 6
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Recall	Precision	F1
0.3421	1.0	1708	0.4182	0.8920	0.8991	0.8465	0.8720
0.1548	2.0	3416	0.5443	0.8797	0.9099	0.8170	0.8609
0.2665	3.0	5124	0.4797	0.8982	0.8412	0.9032	0.8711
0.2009	4.0	6832	0.4726	0.8973	0.8884	0.8643	0.8762
0.0602	5.0	8540	0.5387	0.8955	0.8948	0.8563	0.8751

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2