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mhr2004/roberta-base-negcommonsensebalanced-1e-06-64
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metadata
library_name: transformers
license: mit
base_model: roberta-base
tags:
  - generated_from_trainer
model-index:
  - name: roberta-base-negcommonsensebalanced-1e-06-64
    results: []

roberta-base-negcommonsensebalanced-1e-06-64

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

  • Loss: 0.3964

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: 1e-06
  • train_batch_size: 256
  • eval_batch_size: 1024
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 30

Training results

Training Loss Epoch Step Validation Loss
0.6084 1.0 795 0.5485
0.5297 2.0 1590 0.5047
0.5021 3.0 2385 0.4816
0.4891 4.0 3180 0.4691
0.4716 5.0 3975 0.4565
0.4622 6.0 4770 0.4519
0.4537 7.0 5565 0.4408
0.4437 8.0 6360 0.4387
0.4345 9.0 7155 0.4311
0.4295 10.0 7950 0.4286
0.4219 11.0 8745 0.4229
0.4169 12.0 9540 0.4175
0.413 13.0 10335 0.4176
0.4098 14.0 11130 0.4139
0.4046 15.0 11925 0.4096
0.4012 16.0 12720 0.4079
0.3958 17.0 13515 0.4069
0.3915 18.0 14310 0.4066
0.3928 19.0 15105 0.4046
0.3896 20.0 15900 0.4017
0.3856 21.0 16695 0.4004
0.3795 22.0 17490 0.3984
0.3809 23.0 18285 0.3989
0.3796 24.0 19080 0.3983
0.3782 25.0 19875 0.3983
0.3793 26.0 20670 0.3977
0.3747 27.0 21465 0.3959
0.3743 28.0 22260 0.3970
0.3795 29.0 23055 0.3962
0.373 30.0 23850 0.3964

Framework versions

  • Transformers 4.48.3
  • Pytorch 2.6.0+cu124
  • Datasets 3.2.0
  • Tokenizers 0.21.0