xlm-roberta-large-xnli-finetuned-mnli-SJP-v3

This model is a fine-tuned version of joeddav/xlm-roberta-large-xnli on the swiss_judgment_prediction dataset. It achieves the following results on the evaluation set:

• eval_loss: 5.4348
• eval_accuracy: 0.3352
• eval_runtime: 588.81
• eval_samples_per_second: 8.492
• eval_steps_per_second: 4.246
• epoch: 14.0
• step: 70

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: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20

Framework versions

• Transformers 4.20.0
• Pytorch 1.11.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1