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模型:
SaiedAlshahrani/arwiki_mlm
中文arwiki_mlm (arRoBERTa)
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Pseudo-Perplexity:
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: 256
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Epoch | Step | Training Loss |
|---|---|---|
| 1 | 3000 | 5.681200 |
| 2 | 6000 | 3.777100 |
| 3 | 9000 | 3.246300 |
| 4 | 12000 | 3.012100 |
| 5 | 15000 | 2.888400 |
| Train Runtime | Train Samples Per Second | Train Steps Per Second | Total Flos | Train Loss | Epoch |
|---|---|---|---|---|---|
| 17048.756800 | 248.355000 | 0.970000 | 140390797515571200.000000 | 3.639375 | 5.000000 |
Framework versions
- Datasets 2.9.0
- Tokenizers 0.12.1
- Transformers 4.24.0
- Pytorch 1.12.1+cu116