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smolm-autoreg-bpe-babylm-no_aann-removal-3e-3
This model is a fine-tuned version of models/smolm-autoreg-bpe-babylm-no_aann-removal-3e-3/config.json on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1435
- Accuracy: 0.4338
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: 0.003
- 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 |
---|---|---|---|---|
3.4382 | 1.0 | 9181 | 3.5341 | 0.3795 |
3.2235 | 2.0 | 18362 | 3.3513 | 0.3988 |
3.1337 | 3.0 | 27543 | 3.2862 | 0.4073 |
3.065 | 4.0 | 36724 | 3.2328 | 0.4130 |
2.9911 | 5.0 | 45905 | 3.1884 | 0.4188 |
2.9331 | 6.0 | 55086 | 3.1616 | 0.4229 |
2.8872 | 7.0 | 64267 | 3.1435 | 0.4256 |
2.8504 | 8.0 | 73448 | 3.1346 | 0.4271 |
2.8204 | 9.0 | 82629 | 3.1270 | 0.4283 |
2.7873 | 10.0 | 91810 | 3.1158 | 0.4303 |
2.7587 | 11.0 | 100991 | 3.1263 | 0.4309 |
2.7354 | 12.0 | 110172 | 3.1099 | 0.4322 |
2.7105 | 13.0 | 119353 | 3.1115 | 0.4329 |
2.6833 | 14.0 | 128534 | 3.1166 | 0.4329 |
2.6605 | 15.0 | 137715 | 3.1237 | 0.4330 |
2.6432 | 16.0 | 146896 | 3.1246 | 0.4334 |
2.6192 | 17.0 | 156077 | 3.1203 | 0.4341 |
2.5964 | 18.0 | 165258 | 3.1337 | 0.4338 |
2.5737 | 19.0 | 174439 | 3.1365 | 0.4339 |
2.5522 | 20.0 | 183620 | 3.1435 | 0.4338 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3