tiny-mlm-tweet
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: 4.5627
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 |
|---|---|---|---|
| 4.832 | 11.11 | 500 | 4.4717 |
| 4.3993 | 22.22 | 1000 | 4.3088 |
| 4.2588 | 33.33 | 1500 | 4.4458 |
| 4.1304 | 44.44 | 2000 | 4.2552 |
| 4.0193 | 55.56 | 2500 | 4.4867 |
| 3.9369 | 66.67 | 3000 | 4.3410 |
| 3.8675 | 77.78 | 3500 | 4.5627 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2