exp_kik_mluke_base
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: 0.6328
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.581 | 1.0 | 388 | 0.6329 |
| 0.6724 | 2.0 | 776 | 0.6427 |
| 0.6517 | 3.0 | 1164 | 0.6328 |
| 0.6366 | 4.0 | 1552 | 0.6327 |
| 0.6266 | 5.0 | 1940 | 0.6328 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for Penquina/exp_kik_mluke_base
Base model
studio-ousia/mluke-base