mobilebert_sa_GLUE_Experiment_data_aug_sst2_256
This model is a fine-tuned version of google/mobilebert-uncased on the GLUE SST2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5172
- Accuracy: 0.7867
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: 5e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3529 | 1.0 | 8748 | 0.5172 | 0.7867 |
| 0.2729 | 2.0 | 17496 | 0.5752 | 0.7695 |
| 0.2317 | 3.0 | 26244 | 0.6663 | 0.7718 |
| 0.2039 | 4.0 | 34992 | 0.6987 | 0.7729 |
| 0.183 | 5.0 | 43740 | 0.9113 | 0.7810 |
| 0.1664 | 6.0 | 52488 | 0.8460 | 0.7844 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.9.0
- Tokenizers 0.13.2
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