output

This model is a fine-tuned version of DeepPavlov/xlm-roberta-large-en-ru-mnli on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.2408
• eval_accuracy: 0.9691
• eval_f1-score: 0.9693
• eval_mcc: 0.9566
• eval_runtime: 78.6359
• eval_samples_per_second: 38.278
• eval_steps_per_second: 9.576
• epoch: 6.0
• step: 10536

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: 1e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 10

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.15.0
• Tokenizers 0.15.0