add-bert-Massive-intent_48
This model is a fine-tuned version of gokuls/add_bert_12_layer_model_complete_training_new_48 on the massive dataset. It achieves the following results on the evaluation set:
- Loss: 0.8718
- Accuracy: 0.8470
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: 64
- eval_batch_size: 64
- seed: 33
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
2.9968 | 1.0 | 180 | 2.1497 | 0.4230 |
1.605 | 2.0 | 360 | 1.1427 | 0.6906 |
0.9333 | 3.0 | 540 | 0.8180 | 0.7875 |
0.647 | 4.0 | 720 | 0.7803 | 0.7983 |
0.4646 | 5.0 | 900 | 0.7592 | 0.8072 |
0.338 | 6.0 | 1080 | 0.6974 | 0.8283 |
0.2599 | 7.0 | 1260 | 0.7767 | 0.8195 |
0.1967 | 8.0 | 1440 | 0.7357 | 0.8401 |
0.1428 | 9.0 | 1620 | 0.7930 | 0.8308 |
0.106 | 10.0 | 1800 | 0.8260 | 0.8382 |
0.0754 | 11.0 | 1980 | 0.8605 | 0.8367 |
0.0514 | 12.0 | 2160 | 0.8574 | 0.8426 |
0.0303 | 13.0 | 2340 | 0.8560 | 0.8446 |
0.0189 | 14.0 | 2520 | 0.8722 | 0.8465 |
0.0122 | 15.0 | 2700 | 0.8718 | 0.8470 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.13.0
- Tokenizers 0.13.3
- Downloads last month
- 9