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slplab/pretrain-asd_w-cot_wo-asd_text-features

sourceHugging Faceupdated 2y agoView on Hugging Face
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Model Card

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pretrain-asdw-cotwo-asd_text-features

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

  • —Loss: 0.2917

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
0.5260.172710000.3186
0.30760.345420000.3046
0.30160.518130000.3004
0.29880.690840000.3006
0.29640.863650000.2990
0.29941.036360000.2966
0.2971.209070000.2961
0.29561.381780000.2953
0.29191.554490000.2947
0.29091.7271100000.2939
0.28961.8998110000.2939
0.29582.0725120000.2928
0.28922.2453130000.2934
0.29012.4180140000.2926
0.28992.5907150000.2922
0.29062.7634160000.2918
0.29022.9361170000.2917

Framework versions

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