zeroshot-classification-de – AI Model by michaelp11 | AlphaNeural AI

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michaelp11/
zeroshot-classification-de

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text-classification

generated_from_trainer

zero-shot-classification

MoritzLaurer/deberta-v3-base-zeroshot-v1.1-all-33

autotrain_compatible

endpoints_compatible

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zeroshot-classification-de

This model is a fine-tuned version of MoritzLaurer/deberta-v3-base-zeroshot-v1.1-all-33 on the michaelp11/wiki-tags dataset. It achieves the following results on the evaluation set:

Loss: 0.4552
F1 Micro: 0.859
Accuracy: 0.859
Precision Micro: 0.859
Recall Micro: 0.859

Intended uses & limitations

Zeroshot classification for german language - yay.

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.06
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Macro	F1 Micro	Accuracy Balanced	Accuracy	Precision Macro	Recall Macro	Precision Micro	Recall Micro
No log	1.0	313	0.3407	0.8507	0.851	0.8509	0.851	0.8534	0.8509	0.851	0.851
0.373	2.0	626	0.3830	0.8600	0.86	0.8600	0.86	0.86	0.8600	0.86	0.86
0.373	3.0	939	0.4552	0.8589	0.859	0.8590	0.859	0.8596	0.8590	0.859	0.859

Framework versions

Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1