CoolFace
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legal900428/distilroberta-base-finetuned-5

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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distilroberta-base-finetuned-5

This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 7.7176

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: 0.1
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 5

Training results

Training LossEpochStepValidation Loss
No log0.0610010.2838
No log0.132007.7953
No log0.193008.1994
No log0.254007.8056
9.8110.315007.9051
9.8110.386007.7456
9.8110.447007.6993
9.8110.58007.6495
9.8110.579007.6299
7.69460.6310008.0943
7.69460.6911007.7867
7.69460.7612007.8255
7.69460.8213007.6736
7.69460.8814007.8256
7.7050.9415007.6314
7.7051.0116008.2863
7.7051.0717007.6478
7.7051.1318007.7848
7.7051.219007.8197
7.6841.2620007.6375
7.6841.3221007.8488
7.6841.3822007.4670
7.6841.4523007.5753
7.6841.5124007.7700
7.69861.5725007.5818
7.69861.6426007.8999
7.69861.727007.9052
7.69861.7628008.0244
7.69861.8329007.6222
7.68261.8930007.4792
7.68261.9531007.5621
7.68262.0132008.0141
7.68262.0833008.1017
7.68262.1434007.5564
7.68832.235007.6062
7.68832.2736008.1329
7.68832.3337007.6535
7.68832.3938007.7058
7.68832.4539007.5741
7.75752.5240007.4625
7.75752.5841007.6652
7.75752.6442007.9018
7.75752.7143007.7376
7.75752.7744007.8720
7.63682.8345007.7737
7.63682.8946007.5152
7.63682.9647007.6789
7.63683.0248008.2642
7.63683.0849007.6770
7.67033.1550007.8652
7.67033.2151007.6079
7.67033.2752008.0584
7.67033.3453007.7902
7.67033.454007.7027
7.8093.4655007.8268
7.8093.5256007.7829
7.8093.5957008.1631
7.8093.6558008.7083
7.8093.7159007.5211
7.67143.7860007.9038
7.67143.8461007.6304
7.67143.962007.5566
7.67143.9663008.2604
7.67144.0364007.5620
7.72674.0965007.9037
7.72674.1566007.7494
7.72674.2267007.6225
7.72674.2868007.8152
7.72674.3469007.5220
7.65774.4170007.5893
7.65774.4771007.5602
7.65774.5372007.9712
7.65774.5973007.7955
7.65774.6674007.8075
7.64624.7275007.5894
7.64624.7876007.6420
7.64624.8577007.6541
7.64624.9178007.7330
7.64624.9779007.4767

Framework versions

  • —Transformers 4.38.2
  • —Pytorch 2.1.2+cu118
  • —Datasets 2.18.0
  • —Tokenizers 0.15.2