metadata
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-cased-massive_intent
results: []
bert-base-cased-massive_intent
This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5797
- Accuracy: 0.8716
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-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.3465 | 1.0 | 720 | 2.3843 | 0.5347 |
| 1.9972 | 2.0 | 1440 | 1.4809 | 0.7093 |
| 1.3555 | 3.0 | 2160 | 1.0981 | 0.7757 |
| 1.0033 | 4.0 | 2880 | 0.8683 | 0.8259 |
| 0.7694 | 5.0 | 3600 | 0.7548 | 0.8387 |
| 0.613 | 6.0 | 4320 | 0.6804 | 0.8480 |
| 0.5019 | 7.0 | 5040 | 0.6344 | 0.8544 |
| 0.4203 | 8.0 | 5760 | 0.6095 | 0.8633 |
| 0.3599 | 9.0 | 6480 | 0.5934 | 0.8633 |
| 0.3099 | 10.0 | 7200 | 0.5879 | 0.8623 |
| 0.2783 | 11.0 | 7920 | 0.5834 | 0.8682 |
| 0.2499 | 12.0 | 8640 | 0.5825 | 0.8642 |
| 0.2292 | 13.0 | 9360 | 0.5813 | 0.8677 |
| 0.2164 | 14.0 | 10080 | 0.5797 | 0.8716 |
| 0.2104 | 15.0 | 10800 | 0.5816 | 0.8677 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.2.0
- Datasets 2.16.1
- Tokenizers 0.15.1