metadata
license: apache-2.0
base_model: studio-ousia/mluke-base
tags:
- generated_from_trainer
model-index:
- name: exp_mluke_base_auan
results: []
exp_mluke_base_auan
This model is a fine-tuned version of studio-ousia/mluke-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1706
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 618
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5369 | 0.9932 | 55 | 0.4464 |
| 0.2825 | 1.9865 | 110 | 0.2670 |
| 0.2248 | 2.9977 | 166 | 0.2278 |
| 0.1797 | 3.9910 | 221 | 0.2210 |
| 0.111 | 4.9842 | 276 | 0.1788 |
| 0.1056 | 5.9955 | 332 | 0.1682 |
| 0.0981 | 6.9887 | 387 | 0.1899 |
| 0.0803 | 8.0 | 443 | 0.1720 |
| 0.0768 | 8.9932 | 498 | 0.1572 |
| 0.0504 | 9.9323 | 550 | 0.1706 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1