smolm-autoreg-bpe-counterfactual_babylm_indef_articles_with_pl_nouns_removal_new-seed_1024-1e-3
This model was trained from scratch on the kanishka/counterfactual_babylm_aann_indef_articles_with_pl_nouns_removal_new dataset. It achieves the following results on the evaluation set:
- Loss: 3.4015
- Accuracy: 0.4107
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: 0.001
- train_batch_size: 32
- eval_batch_size: 64
- seed: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 32000
- num_epochs: 20.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.5956 | 1.0 | 18600 | 3.7880 | 0.3589 |
| 3.3783 | 2.0 | 37200 | 3.5973 | 0.3816 |
| 3.2492 | 3.0 | 55800 | 3.4737 | 0.3920 |
| 3.174 | 4.0 | 74400 | 3.4102 | 0.3983 |
| 3.1174 | 5.0 | 93000 | 3.3910 | 0.4020 |
| 3.0763 | 6.0 | 111600 | 3.3897 | 0.4044 |
| 3.038 | 7.0 | 130200 | 3.3814 | 0.4058 |
| 3.0096 | 8.0 | 148800 | 3.3546 | 0.4082 |
| 2.9754 | 9.0 | 167400 | 3.3599 | 0.4077 |
| 2.9501 | 10.0 | 186000 | 3.3615 | 0.4083 |
| 2.9304 | 11.0 | 204600 | 3.3480 | 0.4101 |
| 2.9083 | 12.0 | 223200 | 3.3556 | 0.4097 |
| 2.8872 | 13.0 | 241800 | 3.3658 | 0.4093 |
| 2.8666 | 14.0 | 260400 | 3.3668 | 0.4103 |
| 2.841 | 15.0 | 279000 | 3.3685 | 0.4115 |
| 2.8247 | 16.0 | 297600 | 3.3752 | 0.4107 |
| 2.8096 | 17.0 | 316200 | 3.3834 | 0.4105 |
| 2.7845 | 18.0 | 334800 | 3.3846 | 0.4113 |
| 2.7699 | 19.0 | 353400 | 3.3916 | 0.4111 |
| 2.7549 | 20.0 | 372000 | 3.4015 | 0.4107 |
Framework versions
- Transformers 4.38.0
- Pytorch 2.3.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2
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Dataset used to train kanishka/smolm-autoreg-bpe-counterfactual_babylm_indef_articles_with_pl_nouns_removal_new-seed_1024-1e-3
Evaluation results
- Accuracy on kanishka/counterfactual_babylm_aann_indef_articles_with_pl_nouns_removal_newself-reported0.411