goemotions-roberta-model – AI Model by kunjshah01 | AlphaNeural AI

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kunjshah01/
goemotions-roberta-model

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text-classification

generated_from_trainer

FacebookAI/roberta-base

text-embeddings-inference

endpoints_compatible

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goemotions-roberta-model

This model is a fine-tuned version of roberta-base on an geoemotion dataset. It achieves the following results on the evaluation set:

Loss: 0.0817
F1 Micro: 0.5864
F1 Macro: 0.4282
Precision Micro: 0.7067
Recall Micro: 0.5010

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: 16
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
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Micro	F1 Macro	Precision Micro	Recall Micro
0.091	1.0	2714	0.0895	0.5482	0.3293	0.7346	0.4373
0.0822	2.0	5428	0.0837	0.5653	0.4060	0.7312	0.4608
0.0757	3.0	8142	0.0832	0.5803	0.4263	0.7003	0.4955

Framework versions

Transformers 4.57.2
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1