hBERTv1_new_pretrain_48_KD_rte
This model is a fine-tuned version of gokuls/bert_12_layer_model_v1_complete_training_new_48_KD on the GLUE RTE dataset. It achieves the following results on the evaluation set:
- Loss: 0.6917
- Accuracy: 0.5271
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: 4e-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 |
|---|---|---|---|---|
| 0.7295 | 1.0 | 20 | 0.6917 | 0.5271 |
| 0.7039 | 2.0 | 40 | 0.6932 | 0.4729 |
| 0.6998 | 3.0 | 60 | 0.6956 | 0.4729 |
| 0.6954 | 4.0 | 80 | 0.6960 | 0.4729 |
| 0.7018 | 5.0 | 100 | 0.6921 | 0.5271 |
| 0.697 | 6.0 | 120 | 0.7112 | 0.4729 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.12.0
- Tokenizers 0.13.3
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