mental-roberta-base-pr – AI Model by rendchevi | AlphaNeural AI

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rendchevi/
mental-roberta-base-pr

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text-classification

generated_from_trainer

mental/mental-roberta-base

text-embeddings-inference

endpoints_compatible

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mental-roberta-base-pr

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

Loss: 0.9572
F1 Macro: 0.6108
Precision: 0.6110
Recall: 0.6208
Accuracy: 0.7680

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: 32
seed: 42
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Macro	Precision	Recall	Accuracy
No log	1.0	240	2.2241	0.3643	0.4572	0.4376	0.5114
No log	2.0	480	0.8042	0.5883	0.5912	0.6185	0.7503
1.9047	3.0	720	0.7581	0.6197	0.6225	0.6376	0.7669
1.9047	4.0	960	0.7754	0.6211	0.6171	0.6381	0.7643
0.8579	5.0	1200	0.8229	0.6184	0.6299	0.6292	0.7695
0.8579	6.0	1440	0.9572	0.6108	0.6110	0.6208	0.7680

Framework versions

Transformers 4.57.1
Pytorch 2.8.0+cu128
Datasets 4.4.1
Tokenizers 0.22.1