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MAL-10epoch-MLMMul

Text Classification
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PyTorch
xlm
Generated from Trainer
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MAL-10epoch-MLMMul / README.md
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metadata
license: cc-by-nc-4.0
base_model: xlm-mlm-100-1280
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: MAL-10epoch-MLMMul
    results: []

MAL-10epoch-MLMMul

This model is a fine-tuned version of xlm-mlm-100-1280 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2283
  • Accuracy: 0.2586

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

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 17 2.2916 0.4483
No log 2.0 34 1.4394 0.6897
No log 3.0 51 1.1738 0.2759
No log 4.0 68 1.1875 0.2414
No log 5.0 85 1.2283 0.2586

Framework versions

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