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metadata
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: sa_bert_12_layer_model_complete_training_new
    results: []

sa_bert_12_layer_model_complete_training_new

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

  • Loss: 7.4351
  • Accuracy: 0.0442

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: 0.001
  • train_batch_size: 64
  • eval_batch_size: 64
  • 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
7.2755 0.11 10000 7.2838 0.0466
7.2773 0.22 20000 7.2702 0.0466
7.2658 0.33 30000 7.2628 0.0481
7.2999 0.44 40000 7.3364 0.0469
7.3 0.55 50000 7.3381 0.0470
7.342 0.66 60000 7.3410 0.0477
7.3392 0.76 70000 7.3417 0.0477
7.3357 0.87 80000 7.3412 0.0476
7.3331 0.98 90000 7.4346 0.0442
7.3351 1.09 100000 7.4346 0.0443
7.3352 1.2 110000 7.4352 0.0442
7.3306 1.31 120000 7.4347 0.0442
7.3281 1.42 130000 7.4351 0.0442

Framework versions

  • Transformers 4.29.2
  • Pytorch 1.14.0a0+410ce96
  • Datasets 2.12.0
  • Tokenizers 0.13.3