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bert_12_layer_model_v2_complete_training_new_48_KD
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 418.2312
- Accuracy: 0.1802
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: 36
- eval_batch_size: 36
- 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 |
---|---|---|---|---|
846.7844 | 0.06 | 10000 | 799.2012 | 0.1433 |
603.1405 | 0.12 | 20000 | 597.2043 | 0.1455 |
552.8343 | 0.18 | 30000 | 549.4058 | 0.1455 |
525.8206 | 0.25 | 40000 | 523.2474 | 0.1455 |
508.5397 | 0.31 | 50000 | 508.2666 | 0.1467 |
495.479 | 0.37 | 60000 | 494.1740 | 0.1454 |
485.269 | 0.43 | 70000 | 483.4185 | 0.1459 |
474.9876 | 0.49 | 80000 | 475.5062 | 0.1475 |
464.3079 | 0.55 | 90000 | 460.0214 | 0.1507 |
455.1477 | 0.61 | 100000 | 451.2754 | 0.1553 |
444.9362 | 0.68 | 110000 | 441.2908 | 0.1596 |
438.575 | 0.74 | 120000 | 432.5171 | 0.1660 |
429.8774 | 0.8 | 130000 | 425.1851 | 0.1693 |
421.0561 | 0.86 | 140000 | 418.2312 | 0.1802 |
Framework versions
- Transformers 4.30.1
- Pytorch 1.14.0a0+410ce96
- Datasets 2.12.0
- Tokenizers 0.13.3