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smolm-mlm-bpe-unmask-seed_111
This model is a fine-tuned version of models/smolm-mlm/config.json on 5M words of American-English child-directed input. It achieves the following results on the evaluation set:
- Loss: 2.6956
- Accuracy: 0.4492
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: 0.0005
- train_batch_size: 64
- eval_batch_size: 512
- seed: 111
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 24000
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.5129 | 1.0 | 11938 | 3.4627 | 0.3523 |
| 3.319 | 2.0 | 23876 | 3.3322 | 0.3641 |
| 3.1577 | 3.0 | 35814 | 3.1841 | 0.3810 |
| 3.0357 | 4.0 | 47752 | 3.0588 | 0.3982 |
| 2.9606 | 5.0 | 59690 | 2.9535 | 0.4109 |
| 2.87 | 6.0 | 71628 | 2.8745 | 0.4221 |
| 2.7817 | 7.0 | 83566 | 2.8351 | 0.4284 |
| 2.7388 | 8.0 | 95504 | 2.7536 | 0.4417 |
| 2.6618 | 9.0 | 107442 | 2.7308 | 0.4424 |
| 2.6258 | 10.0 | 119380 | 2.6880 | 0.4522 |
Framework versions
- Transformers 4.32.1
- Pytorch 1.13.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
