smolm-autoreg-bpe-counterfactual-babylm-prototypical_only-seed_211-1e-3
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.3871
- Accuracy: 0.4118
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: 211
- 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 |
|---|---|---|---|---|
| 3.6086 | 1.0 | 18593 | 3.7866 | 0.3570 |
| 3.3876 | 2.0 | 37186 | 3.5895 | 0.3814 |
| 3.2566 | 3.0 | 55779 | 3.4826 | 0.3920 |
| 3.1766 | 4.0 | 74372 | 3.4033 | 0.3996 |
| 3.1188 | 5.0 | 92965 | 3.4073 | 0.4015 |
| 3.0796 | 6.0 | 111558 | 3.3821 | 0.4045 |
| 3.0412 | 7.0 | 130151 | 3.3505 | 0.4082 |
| 3.0092 | 8.0 | 148744 | 3.3533 | 0.4078 |
| 2.9817 | 9.0 | 167337 | 3.3516 | 0.4085 |
| 2.9541 | 10.0 | 185930 | 3.3482 | 0.4095 |
| 2.9354 | 11.0 | 204523 | 3.3638 | 0.4100 |
| 2.9126 | 12.0 | 223116 | 3.3272 | 0.4119 |
| 2.8898 | 13.0 | 241709 | 3.3513 | 0.4110 |
| 2.8735 | 14.0 | 260302 | 3.3416 | 0.4124 |
| 2.8536 | 15.0 | 278895 | 3.3536 | 0.4122 |
| 2.8328 | 16.0 | 297488 | 3.3505 | 0.4125 |
| 2.8111 | 17.0 | 316081 | 3.3719 | 0.4116 |
| 2.7953 | 18.0 | 334674 | 3.3815 | 0.4117 |
| 2.7733 | 19.0 | 353267 | 3.3844 | 0.4118 |
| 2.7618 | 20.0 | 371860 | 3.3871 | 0.4118 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.12.0
- Tokenizers 0.14.1
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