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elliottfitzgerald/opt-350m-finetuned-mnli-mm

sourceHugging Faceotherupdated 2y agoView on Hugging Face
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opt-350m-finetuned-mnli-mm

This model is a fine-tuned version of facebook/opt-350m on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 3.0148
  • —Accuracy: 0.5163

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: 10

Training results

Training LossEpochStepValidation LossAccuracy
No log1.013.01480.5163
No log2.021.73030.5153
No log3.030.90620.4932
No log4.041.14450.4908
No log5.051.30910.4863
No log6.061.22490.4901
No log7.071.06920.4935
No log8.080.95020.5031
No log9.090.90180.5054
No log10.0100.89090.5089

Framework versions

  • —Transformers 4.40.1
  • —Pytorch 2.2.1+cu121
  • —Datasets 2.19.0
  • —Tokenizers 0.19.1