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qminh369/token-classification-llmlingua2-xlm-roberta-bctn-2308_sample-5_epoch_best_data

sourceHugging Facemitupdated 2y agoView on Hugging Face
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token-classification-llmlingua2-xlm-roberta-bctn-2308sample-5epochbestdata

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

  • —Loss: 0.2140

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
  • —trainbatchsize: 1
  • —evalbatchsize: 1
  • —seed: 42
  • —gradientaccumulationsteps: 16
  • —totaltrainbatch_size: 16
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 5

Training results

Training LossEpochStepValidation Loss
No log1.01150.2281
No log1.992300.2221
No log3.03460.2195
No log4.04610.2152
0.23684.985750.2140

Framework versions

  • —Transformers 4.39.0.dev0
  • —Pytorch 2.2.1+cu118
  • —Datasets 2.18.0
  • —Tokenizers 0.15.2