smolm-autoreg-bpe-counterfactual-babylm-pipps_and_keys_to_it_all_10k-1e-4
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.3595
- Accuracy: 0.4079
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: 32
- eval_batch_size: 64
- seed: 42
- 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 |
---|---|---|---|---|
4.056 | 1.0 | 18844 | 4.2267 | 0.3114 |
3.5768 | 2.0 | 37688 | 3.6840 | 0.3636 |
3.3965 | 3.0 | 56532 | 3.5042 | 0.3817 |
3.2965 | 4.0 | 75376 | 3.4624 | 0.3893 |
3.229 | 5.0 | 94220 | 3.4083 | 0.3940 |
3.1807 | 6.0 | 113064 | 3.3809 | 0.3974 |
3.1371 | 7.0 | 131908 | 3.3657 | 0.3999 |
3.1078 | 8.0 | 150752 | 3.3597 | 0.4015 |
3.0741 | 9.0 | 169596 | 3.3538 | 0.4030 |
3.0472 | 10.0 | 188440 | 3.3511 | 0.4047 |
3.0234 | 11.0 | 207284 | 3.3451 | 0.4048 |
3.0026 | 12.0 | 226128 | 3.3451 | 0.4062 |
2.9792 | 13.0 | 244972 | 3.3464 | 0.4066 |
2.9576 | 14.0 | 263816 | 3.3389 | 0.4073 |
2.9415 | 15.0 | 282660 | 3.3515 | 0.4072 |
2.9218 | 16.0 | 301504 | 3.3501 | 0.4073 |
2.8992 | 17.0 | 320348 | 3.3496 | 0.4077 |
2.8867 | 18.0 | 339192 | 3.3493 | 0.4078 |
2.8695 | 19.0 | 358036 | 3.3611 | 0.4077 |
2.8538 | 20.0 | 376880 | 3.3595 | 0.4079 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.12.0
- Tokenizers 0.14.1
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