gokuls / add_bert_12_layer_model_complete_training_new_48

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Total runs: 11
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7-day runs: 0
30-day runs: -8
Model's Last Updated: June 12 2023
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Introduction of add_bert_12_layer_model_complete_training_new_48

Model Details of add_bert_12_layer_model_complete_training_new_48

add_bert_12_layer_model_complete_training_new_48

This model is a fine-tuned version of gokuls/add_bert_12_layer_model_complete_training_new on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 5.7593
  • Accuracy: 0.1584
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: 48
  • eval_batch_size: 48
  • 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: 5
Training results
Training Loss Epoch Step Validation Loss Accuracy
6.1015 0.08 10000 6.0525 0.1516
6.101 0.16 20000 6.0321 0.1517
5.9404 0.25 30000 5.9942 0.1528
5.9754 0.33 40000 5.9490 0.1537
5.9035 0.41 50000 5.8952 0.1546
5.8787 0.49 60000 5.8524 0.1556
5.7845 0.57 70000 5.8146 0.1568
5.8335 0.66 80000 5.7857 0.1575
5.7803 0.74 90000 5.7593 0.1584
Framework versions
  • Transformers 4.30.1
  • Pytorch 1.14.0a0+410ce96
  • Datasets 2.12.0
  • Tokenizers 0.13.3

Runs of gokuls add_bert_12_layer_model_complete_training_new_48 on huggingface.co

11
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7-day runs
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