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slplab/pretrain-asd_w-cot_w-asd_text-features

sourceHugging Faceupdated 2y agoView on Hugging Face
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Model Card

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pretrain-asdw-cotw-asd_text-features

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.2919

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: 3e-05
  • —trainbatchsize: 2
  • —evalbatchsize: 2
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 8
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 3
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
0.53310.172510000.3109
0.30760.345020000.3025
0.29630.517430000.3007
0.30080.689940000.2992
0.29690.862450000.2984
0.29561.034960000.2977
0.29431.207470000.3000
0.29731.379880000.2968
0.29271.552390000.2953
0.29491.7248100000.2943
0.29151.8973110000.2931
0.28972.0698120000.2937
0.28852.2422130000.2926
0.29452.4147140000.2928
0.29072.5872150000.2923
0.2922.7597160000.2922
0.28992.9322170000.2919

Framework versions

  • —PEFT 0.11.1
  • —Transformers 4.41.1
  • —Pytorch 2.3.0+cu121
  • —Datasets 2.19.1
  • —Tokenizers 0.19.1