metadata
license: mit
base_model: xlnet-base-cased
tags:
- generated_from_trainer
model-index:
- name: mytest_trainer_base-cased
results: []
mytest_trainer_base-cased
This model is a fine-tuned version of xlnet-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6637
- Rmse: 0.7007
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rmse |
|---|---|---|---|---|
| 0.7404 | 1.0 | 500 | 0.6673 | 0.6971 |
| 0.6377 | 2.0 | 1000 | 0.6914 | 0.7639 |
| 0.5187 | 3.0 | 1500 | 0.7006 | 0.7085 |
| 0.3965 | 4.0 | 2000 | 0.8131 | 0.6812 |
| 0.2847 | 5.0 | 2500 | 0.9636 | 0.6667 |
| 0.2269 | 6.0 | 3000 | 1.2705 | 0.6971 |
| 0.1794 | 7.0 | 3500 | 1.2702 | 0.6815 |
| 0.1419 | 8.0 | 4000 | 1.4109 | 0.6667 |
| 0.1091 | 9.0 | 4500 | 1.6009 | 0.6859 |
| 0.0844 | 10.0 | 5000 | 1.6637 | 0.7007 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3