CoolFace
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Splend1dchan/xtreme_s_xlsr_300m_minds14.en-US_2

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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Model Card

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xtremesxlsr300mminds14.en-US_2

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the GOOGLE/XTREME_S - MINDS14.EN-US dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.5685
  • —F1: 0.8747
  • —Accuracy: 0.8759

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: 0.0003
  • —trainbatchsize: 2
  • —evalbatchsize: 8
  • —seed: 42
  • —distributed_type: multi-GPU
  • —num_devices: 2
  • —gradientaccumulationsteps: 8
  • —totaltrainbatch_size: 32
  • —totalevalbatch_size: 16
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 100
  • —num_epochs: 50.0
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossF1Accuracy
2.61953.95202.63480.01720.0816
2.59257.95402.61190.03520.0851
2.127111.95602.30660.15560.1986
1.261815.95801.38100.68770.7128
0.545519.951001.04030.69920.7270
0.257123.951200.84230.81600.8121
0.347827.951400.65000.85160.8440
0.073231.951600.70660.81230.8156
0.109235.951800.58780.87670.8759
0.027139.952000.59940.85780.8617
0.466443.952200.78300.84030.8440
0.019247.952400.56850.87470.8759

Framework versions

  • —Transformers 4.18.0
  • —Pytorch 1.11.0+cu113
  • —Datasets 2.1.0
  • —Tokenizers 0.12.1