hi-roberta – AI Model by macayla-ts | AlphaNeural AI

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macayla-ts/
hi-roberta

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text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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hi-roberta

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

Loss: 0.1410
Accuracy: 0.9681
Precision: 0.9633
Recall: 0.9681
F1: 0.9648

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: 1e-05
train_batch_size: 8
eval_batch_size: 8
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
lr_scheduler_warmup_steps: 500
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.1385	1.0	471	0.1976	0.9633	0.9280	0.9633	0.9453
0.0068	2.0	942	0.1814	0.9633	0.9280	0.9633	0.9453
0.015	3.0	1413	0.1410	0.9681	0.9633	0.9681	0.9648
0.0858	4.0	1884	0.1734	0.9697	0.9641	0.9697	0.9632
0.0017	5.0	2355	0.1600	0.9713	0.9667	0.9713	0.9674

Framework versions

Transformers 4.51.1
Pytorch 2.4.1.post300
Datasets 2.15.0
Tokenizers 0.21.1