BSF-LoRA-Emotions-20260330-2227 – AI Model by Moeinizadi | AlphaNeural AI

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Moeinizadi/
BSF-LoRA-Emotions-20260330-2227

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SamLowe/roberta-base-go_emotions

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BSF-LoRA-Emotions-20260330-2227

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

Loss: 0.4432
Macro F1: 0.3125
Micro F1: 0.4225
Weighted F1: 0.5017
Macro Precision: 0.2074
Macro Recall: 0.82

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: 0.0001
train_batch_size: 16
eval_batch_size: 32
seed: 42
optimizer: Use 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: 28
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Macro F1	Micro F1	Weighted F1	Macro Precision	Macro Recall
0.8685	1.0	160	0.5070	0.2832	0.4062	0.462	0.1875	0.7061
0.4733	2.0	320	0.4539	0.3032	0.4147	0.4919	0.1992	0.8168
0.4406	3.0	480	0.4432	0.3125	0.4225	0.5017	0.2074	0.82

Framework versions

PEFT 0.18.1
Transformers 5.3.0
Pytorch 2.5.1+cu121
Datasets 4.8.4
Tokenizers 0.22.2