PsyDefDetect_roberta-base_merged_lr-4 – AI Model by C-L-V | AlphaNeural AI

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C-L-V/
PsyDefDetect_roberta-base_merged_lr-4

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text-classification

generated_from_trainer

FacebookAI/roberta-base

text-embeddings-inference

endpoints_compatible

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PsyDefDetect_roberta-base_merged_lr-4

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

Loss: 0.6981
Accuracy: 0.8311
Macro F1: 0.4539
Weighted F1: 0.7544
Macro Precision: 0.4155
Macro Recall: 0.5

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: 0.0002
train_batch_size: 8
eval_batch_size: 8
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
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Macro F1	Weighted F1	Macro Precision	Macro Recall
0.7431	1.0	187	0.6999	0.8311	0.4539	0.7544	0.4155	0.5
0.7220	2.0	374	0.6949	0.1689	0.1445	0.0488	0.0845	0.5
0.6919	3.0	561	0.7716	0.1689	0.1445	0.0488	0.0845	0.5

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2