bert_12_layer_model_v2_complete_training_new_48_KD_wt_init
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 231.6032
- Accuracy: 0.4123
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 |
---|---|---|---|---|
606.9724 | 0.06 | 10000 | 581.9434 | 0.1439 |
499.7046 | 0.12 | 20000 | 509.0019 | 0.1448 |
483.3571 | 0.18 | 30000 | 487.3823 | 0.1451 |
374.2657 | 0.25 | 40000 | 364.4415 | 0.2699 |
330.4914 | 0.31 | 50000 | 324.6827 | 0.3265 |
307.9071 | 0.37 | 60000 | 297.7675 | 0.3516 |
293.5813 | 0.43 | 70000 | 284.2744 | 0.3672 |
282.876 | 0.49 | 80000 | 271.3589 | 0.3775 |
274.4863 | 0.55 | 90000 | 261.3694 | 0.3869 |
267.0072 | 0.61 | 100000 | 252.8204 | 0.3939 |
259.3755 | 0.68 | 110000 | 247.2895 | 0.3992 |
255.5614 | 0.74 | 120000 | 241.0253 | 0.4043 |
250.2624 | 0.8 | 130000 | 238.9221 | 0.4085 |
245.3816 | 0.86 | 140000 | 231.6032 | 0.4123 |
Framework versions
- Transformers 4.30.1
- Pytorch 1.14.0a0+410ce96
- Datasets 2.12.0
- Tokenizers 0.13.3
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