muhtasham / tiny-mlm-snli-from-scratch-custom-tokenizer-target-rotten_tomatoes

huggingface.co
Total runs: 25
24-hour runs: 0
7-day runs: 0
30-day runs: 9
Model's Last Updated: January 20 2023
text-classification

Introduction of tiny-mlm-snli-from-scratch-custom-tokenizer-target-rotten_tomatoes

Model Details of tiny-mlm-snli-from-scratch-custom-tokenizer-target-rotten_tomatoes

tiny-mlm-snli-from-scratch-custom-tokenizer-target-rotten_tomatoes

This model is a fine-tuned version of muhtasham/tiny-mlm-snli-from-scratch-custom-tokenizer on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6855
  • Accuracy: 0.7148
  • F1: 0.7138
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
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • training_steps: 5000
Training results
Training Loss Epoch Step Validation Loss Accuracy F1
0.6938 1.87 500 0.6927 0.5019 0.3375
0.6842 3.75 1000 0.6678 0.6013 0.6013
0.6171 5.62 1500 0.5950 0.6811 0.6793
0.4993 7.49 2000 0.5695 0.7045 0.7045
0.444 9.36 2500 0.5844 0.7176 0.7175
0.4141 11.24 3000 0.5990 0.7261 0.7260
0.3856 13.11 3500 0.6320 0.7223 0.7208
0.3564 14.98 4000 0.6657 0.7129 0.7108
0.3377 16.85 4500 0.6855 0.7148 0.7138
Framework versions
  • Transformers 4.26.0.dev0
  • Pytorch 1.13.1+cu116
  • Datasets 2.8.1.dev0
  • Tokenizers 0.13.2

Runs of muhtasham tiny-mlm-snli-from-scratch-custom-tokenizer-target-rotten_tomatoes on huggingface.co

25
Total runs
0
24-hour runs
1
3-day runs
0
7-day runs
9
30-day runs

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