BSF-Custom-Emotions-20260324-2312 – AI Model by Moeinizadi | AlphaNeural AI

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Moeinizadi/
BSF-Custom-Emotions-20260324-2312

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text-classification

generated_from_trainer

SamLowe/roberta-base-go_emotions

text-embeddings-inference

endpoints_compatible

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BSF-Custom-Emotions-20260324-2312

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: 0.1558
Macro F1: 0.4582
Micro F1: 0.7558
Weighted F1: 0.7464
Macro Precision: 0.5123
Macro Recall: 0.4347

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_steps: 25
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Macro F1	Micro F1	Weighted F1	Macro Precision	Macro Recall
No log	1.0	123	0.1811	0.2936	0.6860	0.6516	0.3667	0.2769
No log	2.0	246	0.1660	0.3601	0.7145	0.6905	0.4200	0.3329
No log	3.0	369	0.1594	0.4024	0.7354	0.7177	0.4638	0.3682
No log	4.0	492	0.1565	0.4576	0.7546	0.7448	0.4903	0.4410
0.1768	5.0	615	0.1558	0.4582	0.7558	0.7464	0.5123	0.4347

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2