Edit model card

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
Downloads last month
32
Safetensors
Model size
184M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for michaelp11/zeroshot-classification-de

Finetuned
(2)
this model