RewardModel_RobertaBase – AI Model by SudhaBhattacharjee | AlphaNeural AI

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SudhaBhattacharjee/
RewardModel_RobertaBase

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text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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RewardModel_RobertaBase

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

Loss: 0.1666
Accuracy: 1.0
F1: 1.0
Roc Auc: 1.0

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Roc Auc
No log	1.0	10	0.6760	0.92	0.92	0.9200
No log	2.0	20	0.4799	0.92	0.9195	0.9200
No log	3.0	30	0.1666	1.0	1.0	1.0
No log	4.0	40	0.0344	1.0	1.0	1.0
No log	5.0	50	0.0200	1.0	1.0	1.0

Framework versions

Transformers 4.54.0
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2