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ishwarbb23/finetuned-baseline-phase-2

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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finetuned-baseline-phase-2

This model is a fine-tuned version of ishwarbb23/finetuned-baseline-phase-1 on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.8342

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: 0.0001
  • —trainbatchsize: 4
  • —evalbatchsize: 4
  • —seed: 42
  • —gradientaccumulationsteps: 16
  • —totaltrainbatch_size: 64
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 20

Training results

Training LossEpochStepValidation Loss
2.14081.3651.9433
2.04842.71101.9249
1.9344.07151.9013
1.89175.42201.8811
1.99236.78251.8662
1.98.14301.8572
1.80399.49351.8497
1.890910.85401.8446
1.844412.2451.8407
1.777413.56501.8370
1.848714.92551.8350
1.799616.27601.8342

Framework versions

  • —Transformers 4.34.1
  • —Pytorch 2.1.0+cu118
  • —Datasets 2.14.6
  • —Tokenizers 0.14.1