gokuls / bert_12_layer_model_v2_complete_training_new_wt_init_72

huggingface.co
Total runs: 16
24-hour runs: 0
7-day runs: 1
30-day runs: 10
Model's Last Updated: June 10 2023
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Introduction of bert_12_layer_model_v2_complete_training_new_wt_init_72

Model Details of bert_12_layer_model_v2_complete_training_new_wt_init_72

bert_12_layer_model_v2_complete_training_new_wt_init_72

This model is a fine-tuned version of gokuls/bert_12_layer_model_v2_complete_training_new_wt_init_48 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.5130
  • Accuracy: 0.5387
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
2.843 0.08 10000 2.6797 0.5170
2.819 0.16 20000 2.6623 0.5194
2.7956 0.25 30000 2.6402 0.5224
2.7843 0.33 40000 2.6235 0.5246
2.7551 0.41 50000 2.6014 0.5270
2.7415 0.49 60000 2.5862 0.5290
2.7141 0.57 70000 2.5725 0.5313
2.6996 0.66 80000 2.5559 0.5329
2.6786 0.74 90000 2.5378 0.5349
2.664 0.82 100000 2.5270 0.5371
2.6493 0.9 110000 2.5130 0.5387
Framework versions
  • Transformers 4.29.2
  • Pytorch 1.14.0a0+410ce96
  • Datasets 2.12.0
  • Tokenizers 0.13.3

Runs of gokuls bert_12_layer_model_v2_complete_training_new_wt_init_72 on huggingface.co

16
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
10
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