tiny-mlm-imdb
This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.5540
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.2358 | 0.16 | 500 | 3.8225 |
| 4.1206 | 0.32 | 1000 | 3.7793 |
| 4.0857 | 0.48 | 1500 | 3.7520 |
| 4.0699 | 0.64 | 2000 | 3.7277 |
| 4.0378 | 0.8 | 2500 | 3.7125 |
| 4.0191 | 0.96 | 3000 | 3.7019 |
| 3.9747 | 1.12 | 3500 | 3.6871 |
| 3.9647 | 1.28 | 4000 | 3.6735 |
| 3.956 | 1.44 | 4500 | 3.6773 |
| 3.9574 | 1.6 | 5000 | 3.6580 |
| 3.9408 | 1.76 | 5500 | 3.6435 |
| 3.9421 | 1.92 | 6000 | 3.6419 |
| 3.9265 | 2.08 | 6500 | 3.6343 |
| 3.9198 | 2.24 | 7000 | 3.6306 |
| 3.9205 | 2.4 | 7500 | 3.6198 |
| 3.8985 | 2.56 | 8000 | 3.6158 |
| 3.9167 | 2.72 | 8500 | 3.6091 |
| 3.9111 | 2.88 | 9000 | 3.6073 |
| 3.8882 | 3.04 | 9500 | 3.5922 |
| 3.8761 | 3.2 | 10000 | 3.5908 |
| 3.8603 | 3.36 | 10500 | 3.5841 |
| 3.8621 | 3.52 | 11000 | 3.5835 |
| 3.8332 | 3.68 | 11500 | 3.5883 |
| 3.8523 | 3.84 | 12000 | 3.5798 |
| 3.8449 | 4.0 | 12500 | 3.5771 |
| 3.8284 | 4.16 | 13000 | 3.5653 |
| 3.8253 | 4.32 | 13500 | 3.5701 |
| 3.8021 | 4.48 | 14000 | 3.5681 |
| 3.8316 | 4.64 | 14500 | 3.5537 |
| 3.8318 | 4.8 | 15000 | 3.5609 |
| 3.82 | 4.96 | 15500 | 3.5579 |
| 3.8094 | 5.12 | 16000 | 3.5540 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.13.2