mobilebert_add_GLUE_Experiment_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: 0.6814
- Accuracy: 0.5562
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 |
|---|---|---|---|---|
| 0.6662 | 1.0 | 527 | 0.6814 | 0.5562 |
| 0.5954 | 2.0 | 1054 | 0.7090 | 0.5493 |
| 0.5689 | 3.0 | 1581 | 0.7150 | 0.5596 |
| 0.5546 | 4.0 | 2108 | 0.6893 | 0.5539 |
| 0.5473 | 5.0 | 2635 | 0.7051 | 0.5872 |
| 0.5421 | 6.0 | 3162 | 0.6983 | 0.5872 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.8.0
- Tokenizers 0.13.2
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Dataset used to train gokuls/mobilebert_add_GLUE_Experiment_sst2_256
Evaluation results
- Accuracy on GLUE SST2validation set self-reported0.556