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
