roberta-large-ToM3 – AI Model by ActiveYixiao | AlphaNeural AI

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ActiveYixiao/
roberta-large-ToM3

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text-classification

generated_from_trainer

FacebookAI/roberta-large

autotrain_compatible

endpoints_compatible

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roberta-large-ToM3

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

Loss: 0.3970
Accuracy: 0.9138
F1: 0.9032
Precision: 0.875
Recall: 0.9333

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: 2015
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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	Precision	Recall
0.4126	1.0	93	0.3849	0.8974	0.8788	0.7838	1.0
0.1997	2.0	186	0.1987	0.8974	0.8667	0.8387	0.8966
0.1401	3.0	279	0.2599	0.9231	0.9062	0.8286	1.0
0.0852	4.0	372	0.3421	0.9231	0.9062	0.8286	1.0
0.0773	5.0	465	0.3327	0.9359	0.9206	0.8529	1.0

Framework versions

Transformers 4.56.0
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0