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smolm-autoreg-bpe-babylm-no_aann-removal-1e-4
This model is a fine-tuned version of models/smolm-autoreg-bpe-babylm-no_aann-removal-1e-4/config.json on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1735
- Accuracy: 0.4271
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: 64
- eval_batch_size: 256
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 4.373 | 1.0 | 9181 | 4.4401 | 0.2946 |
| 3.7212 | 2.0 | 18362 | 3.7948 | 0.3561 |
| 3.4232 | 3.0 | 27543 | 3.5368 | 0.3834 |
| 3.2619 | 4.0 | 36724 | 3.3936 | 0.3974 |
| 3.1543 | 5.0 | 45905 | 3.3105 | 0.4061 |
| 3.0755 | 6.0 | 55086 | 3.2656 | 0.4119 |
| 3.0195 | 7.0 | 64267 | 3.2342 | 0.4155 |
| 2.9752 | 8.0 | 73448 | 3.2222 | 0.4174 |
| 2.9415 | 9.0 | 82629 | 3.1987 | 0.4200 |
| 2.9051 | 10.0 | 91810 | 3.1883 | 0.4221 |
| 2.8752 | 11.0 | 100991 | 3.1854 | 0.4227 |
| 2.8508 | 12.0 | 110172 | 3.1747 | 0.4241 |
| 2.8273 | 13.0 | 119353 | 3.1738 | 0.4243 |
| 2.8026 | 14.0 | 128534 | 3.1709 | 0.4251 |
| 2.7828 | 15.0 | 137715 | 3.1665 | 0.4259 |
| 2.7691 | 16.0 | 146896 | 3.1702 | 0.4261 |
| 2.7494 | 17.0 | 156077 | 3.1686 | 0.4265 |
| 2.7317 | 18.0 | 165258 | 3.1723 | 0.4269 |
| 2.7153 | 19.0 | 174439 | 3.1721 | 0.4269 |
| 2.6999 | 20.0 | 183620 | 3.1735 | 0.4271 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
