baseline_nli_xlmr_large_zero_shot

This model is a fine-tuned version of xlm-roberta-large on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.1406
• eval_accuracy: 0.2918
• eval_precision: 0.2918
• eval_recall: 0.2918
• eval_f1_score: 0.1318
• eval_runtime: 139.4721
• eval_samples_per_second: 15.752
• eval_steps_per_second: 3.943
• step: 0

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: 3e-06
• train_batch_size: 4
• eval_batch_size: 4
• seed: 101
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 6

Framework versions

• Transformers 4.32.1
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3