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AvitalBY/distilbert-base-uncased-finetuned-transcripts-calls

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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distilbert-base-uncased-finetuned-transcripts-calls

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

  • —Loss: 0.5512

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: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 18

Training results

Training LossEpochStepValidation Loss
No log1.0330.4164
No log2.0660.4920
No log3.0990.4535
No log4.01320.5247
No log5.01650.3971
No log6.01980.4293
No log7.02310.4794
No log8.02640.4998
No log9.02970.4648
No log10.03300.4973
No log11.03630.4613
No log12.03960.3967
No log13.04290.4731
No log14.04620.5136
No log15.04950.5510
0.043516.05280.5424
0.043517.05610.5436
0.043518.05940.5512

Framework versions

  • —Transformers 4.38.2
  • —Pytorch 2.2.1+cpu
  • —Datasets 2.18.0
  • —Tokenizers 0.15.2