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shanhy/xlm-roberta-base_latin_original_kin-amh-eng_train_loss

sourceHugging Facemitupdated 3y agoView on Hugging Face
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xlm-roberta-baselatinoriginalkin-amh-engtrain_loss

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

  • —Loss: 0.0293
  • —Spearman Corr: 0.7416

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
  • —trainbatchsize: 32
  • —evalbatchsize: 128
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 64
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 30
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossSpearman Corr
No log1.752000.02650.6827
0.03643.514000.02420.7207
0.02055.266000.02580.7479
0.01467.028000.04100.7467
0.01178.7710000.03000.7324
0.009210.5312000.02820.7313
0.007812.2814000.02990.7357
0.006714.0416000.03080.7329
0.006715.7918000.02670.7443
0.00617.5420000.02930.7416

Framework versions

  • —Transformers 4.37.2
  • —Pytorch 2.2.0+cu121
  • —Datasets 2.17.0
  • —Tokenizers 0.15.2