smolm-autoreg-bpe-counterfactual-babylm-no_prototypical-seed_211-3e-4
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.4074
- Accuracy: 0.4086
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: 0.0003
- 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 |
|---|---|---|---|---|
| 3.7439 | 1.0 | 18593 | 3.9121 | 0.3459 |
| 3.438 | 2.0 | 37186 | 3.6178 | 0.3756 |
| 3.2947 | 3.0 | 55779 | 3.4715 | 0.3901 |
| 3.2076 | 4.0 | 74372 | 3.4140 | 0.3965 |
| 3.1477 | 5.0 | 92965 | 3.3983 | 0.3996 |
| 3.1015 | 6.0 | 111558 | 3.3692 | 0.4021 |
| 3.0662 | 7.0 | 130151 | 3.3772 | 0.4036 |
| 3.0315 | 8.0 | 148744 | 3.3735 | 0.4036 |
| 3.0003 | 9.0 | 167337 | 3.3651 | 0.4057 |
| 2.9732 | 10.0 | 185930 | 3.3708 | 0.4063 |
| 2.9496 | 11.0 | 204523 | 3.3636 | 0.4073 |
| 2.9243 | 12.0 | 223116 | 3.3660 | 0.4085 |
| 2.9041 | 13.0 | 241709 | 3.3552 | 0.4089 |
| 2.8866 | 14.0 | 260302 | 3.3649 | 0.4087 |
| 2.8654 | 15.0 | 278895 | 3.3720 | 0.4086 |
| 2.846 | 16.0 | 297488 | 3.3842 | 0.4086 |
| 2.8252 | 17.0 | 316081 | 3.3945 | 0.4084 |
| 2.8084 | 18.0 | 334674 | 3.4002 | 0.4086 |
| 2.7871 | 19.0 | 353267 | 3.3996 | 0.4087 |
| 2.7718 | 20.0 | 371860 | 3.4074 | 0.4086 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.12.0
- Tokenizers 0.14.1
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