smolm-autoreg-bpe-counterfactual-babylm-only_measure_nps_as_singular_removal-seed_1024-1e-3
This model was trained from scratch on the kanishka/counterfactual-babylm-only_measure_nps_as_singular_removal dataset. It achieves the following results on the evaluation set:
- Loss: 3.4259
- Accuracy: 0.4097
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 |
|---|---|---|---|---|
| 3.6017 | 1.0 | 18600 | 3.7683 | 0.3593 |
| 3.3799 | 2.0 | 37200 | 3.5935 | 0.3790 |
| 3.2546 | 3.0 | 55800 | 3.4823 | 0.3915 |
| 3.1737 | 4.0 | 74400 | 3.4548 | 0.3978 |
| 3.1178 | 5.0 | 93000 | 3.4163 | 0.4014 |
| 3.0736 | 6.0 | 111600 | 3.4017 | 0.4038 |
| 3.0385 | 7.0 | 130200 | 3.3798 | 0.4057 |
| 3.0068 | 8.0 | 148800 | 3.3988 | 0.4060 |
| 2.9774 | 9.0 | 167400 | 3.3728 | 0.4074 |
| 2.9558 | 10.0 | 186000 | 3.3695 | 0.4087 |
| 2.9289 | 11.0 | 204600 | 3.3649 | 0.4094 |
| 2.9058 | 12.0 | 223200 | 3.3604 | 0.4095 |
| 2.8805 | 13.0 | 241800 | 3.3801 | 0.4098 |
| 2.8621 | 14.0 | 260400 | 3.3871 | 0.4095 |
| 2.8423 | 15.0 | 279000 | 3.3872 | 0.4096 |
| 2.8216 | 16.0 | 297600 | 3.3996 | 0.4097 |
| 2.8042 | 17.0 | 316200 | 3.3987 | 0.4101 |
| 2.7834 | 18.0 | 334800 | 3.4020 | 0.4101 |
| 2.7643 | 19.0 | 353400 | 3.4199 | 0.4097 |
| 2.7463 | 20.0 | 372000 | 3.4259 | 0.4097 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Downloads last month
- 16
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Dataset used to train kanishka/smolm-autoreg-bpe-counterfactual-babylm-only_measure_nps_as_singular_removal-seed_1024-1e-3
Evaluation results
- Accuracy on kanishka/counterfactual-babylm-only_measure_nps_as_singular_removalself-reported0.410