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: 0.1983
- Rmse: 0.2961
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 |
|---|---|---|---|---|
| 0.2679 | 1.0 | 642 | 0.2250 | 0.3848 |
| 0.2659 | 2.0 | 1284 | 0.2318 | 0.4252 |
| 0.2505 | 3.0 | 1926 | 0.2295 | 0.3848 |
| 0.2478 | 4.0 | 2568 | 0.2329 | 0.3848 |
| 0.2459 | 5.0 | 3210 | 0.2328 | 0.3848 |
| 0.2452 | 6.0 | 3852 | 0.2215 | 0.3848 |
| 0.2522 | 7.0 | 4494 | 0.2444 | 0.3848 |
| 0.2505 | 8.0 | 5136 | 0.2164 | 0.3504 |
| 0.2087 | 9.0 | 5778 | 0.2409 | 0.3152 |
| 0.1736 | 10.0 | 6420 | 0.1983 | 0.2961 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.18.0
- Tokenizers 0.13.3