Mlukebasewithpaperparameter
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: 0.2155
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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.005
- num_epochs: 10
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.4191 | 1.0 | 416 | 0.3004 |
0.3124 | 2.0 | 832 | 0.2329 |
0.172 | 3.0 | 1248 | 0.2752 |
0.332 | 4.0 | 1664 | 0.2553 |
0.1592 | 5.0 | 2080 | 0.2062 |
0.0961 | 6.0 | 2496 | 0.1837 |
0.1211 | 7.0 | 2912 | 0.1982 |
0.2281 | 8.0 | 3328 | 0.2097 |
0.0495 | 9.0 | 3744 | 0.2149 |
0.1128 | 10.0 | 4160 | 0.2155 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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