metadata
license: apache-2.0
base_model: studio-ousia/mluke-base
tags:
- generated_from_trainer
model-index:
- name: exp_acha_mluke_base_last
results: []
exp_acha_mluke_base_last
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: 0.2625
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: 1e-06
- train_batch_size: 20
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_ratio: 0.45
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6813 | 1.0 | 167 | 0.6868 |
| 0.6414 | 2.0 | 334 | 0.6080 |
| 0.5949 | 3.0 | 501 | 0.5543 |
| 0.5828 | 4.0 | 668 | 0.5174 |
| 0.5562 | 5.0 | 835 | 0.4876 |
| 0.4159 | 6.0 | 1002 | 0.4337 |
| 0.4039 | 7.0 | 1169 | 0.3666 |
| 0.3607 | 8.0 | 1336 | 0.3284 |
| 0.3763 | 9.0 | 1503 | 0.2964 |
| 0.3379 | 10.0 | 1670 | 0.2744 |
| 0.3169 | 11.0 | 1837 | 0.2677 |
| 0.2445 | 12.0 | 2004 | 0.2656 |
| 0.2472 | 13.0 | 2171 | 0.2626 |
| 0.2644 | 14.0 | 2338 | 0.2629 |
| 0.2566 | 15.0 | 2505 | 0.2625 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1