<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
add_BERT_48_rte
This model is a fine-tuned version of gokuls/add_bert_12_layer_model_complete_training_new_48 on the GLUE RTE dataset. It achieves the following results on the evaluation set:
- Loss: 0.6914
- Accuracy: 0.5343
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 |
---|---|---|---|---|
0.7366 | 1.0 | 20 | 0.7002 | 0.4693 |
0.7043 | 2.0 | 40 | 0.6989 | 0.4621 |
0.7196 | 3.0 | 60 | 0.6963 | 0.5307 |
0.7123 | 4.0 | 80 | 0.7180 | 0.4729 |
0.7159 | 5.0 | 100 | 0.6933 | 0.4982 |
0.7033 | 6.0 | 120 | 0.7186 | 0.4729 |
0.7041 | 7.0 | 140 | 0.7036 | 0.4729 |
0.6992 | 8.0 | 160 | 0.6952 | 0.4693 |
0.7056 | 9.0 | 180 | 0.6920 | 0.5271 |
0.6988 | 10.0 | 200 | 0.6978 | 0.4621 |
0.6988 | 11.0 | 220 | 0.6917 | 0.5271 |
0.7047 | 12.0 | 240 | 0.7013 | 0.4729 |
0.7036 | 13.0 | 260 | 0.7099 | 0.4729 |
0.7018 | 14.0 | 280 | 0.6914 | 0.5343 |
0.694 | 15.0 | 300 | 0.6924 | 0.5271 |
0.6942 | 16.0 | 320 | 0.6961 | 0.5271 |
0.6948 | 17.0 | 340 | 0.6988 | 0.5018 |
0.6973 | 18.0 | 360 | 0.6930 | 0.5271 |
0.6886 | 19.0 | 380 | 0.7256 | 0.4621 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.13.0
- Tokenizers 0.13.3