deberta-v3-large-go-emotions – AI Model by darkfordays | AlphaNeural AI

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darkfordays/
deberta-v3-large-go-emotions

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text-classification

generated_from_trainer

microsoft/deberta-v3-large

text-embeddings-inference

endpoints_compatible

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deberta-v3-large-go-emotions

This model is a fine-tuned version of microsoft/deberta-v3-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0811
Macro F1: 0.4688
Micro F1: 0.5960
Weighted F1: 0.5778
Macro Precision: 0.5670
Macro Recall: 0.4250

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: 64
eval_batch_size: 128
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
lr_scheduler_warmup_ratio: 0.1
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
0.099	1.0	679	0.0897	0.3325	0.5469	0.4907	0.4971	0.2874
0.0814	2.0	1358	0.0825	0.4533	0.5843	0.5611	0.5792	0.3960
0.0694	3.0	2037	0.0826	0.4682	0.5986	0.5789	0.5499	0.4237

Framework versions

Transformers 4.57.6
Pytorch 2.4.1+cu124
Datasets 4.8.4
Tokenizers 0.22.2