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bert_12_layer_model_v1_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: 241.0859
- Accuracy: 0.4099
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 |
|---|---|---|---|---|
| 603.6149 | 0.06 | 10000 | 579.3715 | 0.1445 |
| 499.749 | 0.12 | 20000 | 507.5929 | 0.1449 |
| 464.2382 | 0.18 | 30000 | 455.9639 | 0.1525 |
| 402.3357 | 0.25 | 40000 | 394.2733 | 0.2312 |
| 354.8343 | 0.31 | 50000 | 348.3572 | 0.2952 |
| 323.2804 | 0.37 | 60000 | 315.5649 | 0.3318 |
| 304.7558 | 0.43 | 70000 | 294.0559 | 0.3520 |
| 291.4657 | 0.49 | 80000 | 282.6148 | 0.3669 |
| 280.9548 | 0.55 | 90000 | 270.2188 | 0.3792 |
| 271.2151 | 0.61 | 100000 | 260.9895 | 0.3888 |
| 261.6096 | 0.68 | 110000 | 251.4035 | 0.3961 |
| 256.1119 | 0.74 | 120000 | 243.2089 | 0.4041 |
| 249.2419 | 0.8 | 130000 | 241.0859 | 0.4099 |
Framework versions
- Transformers 4.30.1
- Pytorch 1.14.0a0+410ce96
- Datasets 2.12.0
- Tokenizers 0.13.3
