xlm-roberta-en-ru-emoji-v2

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

  • Loss: 2.3356
  • Accuracy: 0.3102

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: 96
  • eval_batch_size: 96
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 0.4 200 3.0592 0.1204
No log 0.81 400 2.5356 0.2480
2.6294 1.21 600 2.4570 0.2569
2.6294 1.62 800 2.3332 0.2832
1.9286 2.02 1000 2.3354 0.2803
1.9286 2.42 1200 2.3610 0.2881
1.9286 2.83 1400 2.3004 0.2973
1.7312 3.23 1600 2.3619 0.3026
1.7312 3.64 1800 2.3596 0.3032
1.5816 4.04 2000 2.2972 0.3072
1.5816 4.44 2200 2.3077 0.3073
1.5816 4.85 2400 2.3356 0.3102

Framework versions

  • Transformers 4.12.3
  • Pytorch 1.9.1
  • Datasets 1.15.1
  • Tokenizers 0.10.3
Downloads last month
13
Hosted inference API
Text Classification
Examples
Examples
This model can be loaded on the Inference API on-demand.

Spaces using amazon-sagemaker-community/xlm-roberta-en-ru-emoji-v2

Evaluation results