rubert-base-cased-finetuned-panx-de

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rubert-base-cased-finetuned-panx-de

This model is a fine-tuned version of DeepPavlov/rubert-base-cased on the universal_dependencies dataset. It achieves the following results on the evaluation set:

• Loss: 1.3352
• F1: 0.6979

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: 5e-05
• train_batch_size: 24
• eval_batch_size: 24
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu117
• Datasets 2.7.1
• Tokenizers 0.13.2