MAL-10epoch-RobertaMul

This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0960
  • Accuracy: 0.2759

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: 10
  • eval_batch_size: 10
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 9 1.0976 0.1207
No log 2.0 18 1.1748 0.6379
No log 3.0 27 1.3041 0.6379
No log 4.0 36 1.2111 0.5690
No log 5.0 45 1.1047 0.3276
No log 6.0 54 1.1429 0.3276
No log 7.0 63 1.0923 0.3448
No log 8.0 72 1.0913 0.3276
No log 9.0 81 1.0882 0.3103
No log 10.0 90 1.0960 0.2759

Framework versions

  • Transformers 4.35.0.dev0
  • Pytorch 1.13.1
  • Datasets 2.14.5
  • Tokenizers 0.14.1
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