gokuls / model_v1_complete_training_wt_init_48_tiny_freeze_new

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Model's Last Updated: November 20 2023
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Model Details of model_v1_complete_training_wt_init_48_tiny_freeze_new

model_v1_complete_training_wt_init_48_tiny_freeze_new

This model is a fine-tuned version of on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset. It achieves the following results on the evaluation set:

  • Loss: 3.8361
  • Accuracy: 0.3687
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-05
  • train_batch_size: 180
  • eval_batch_size: 180
  • seed: 10
  • distributed_type: multi-GPU
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 10000
  • num_epochs: 100
Training results
Framework versions
  • Transformers 4.35.2
  • Pytorch 1.14.0a0+410ce96
  • Datasets 2.15.0
  • Tokenizers 0.15.0

Runs of gokuls model_v1_complete_training_wt_init_48_tiny_freeze_new on huggingface.co

13
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model_v1_complete_training_wt_init_48_tiny_freeze_new is an open source model from GitHub that offers a free installation service, and any user can find model_v1_complete_training_wt_init_48_tiny_freeze_new on GitHub to install. At the same time, huggingface.co provides the effect of model_v1_complete_training_wt_init_48_tiny_freeze_new install, users can directly use model_v1_complete_training_wt_init_48_tiny_freeze_new installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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