smolm-autoreg-bpe-seed_394
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4779
- Accuracy: 0.5000
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: 16
- eval_batch_size: 128
- seed: 394
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 24000
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.0436 | 1.0 | 2928 | 3.0123 | 0.4386 |
| 2.7076 | 2.0 | 5856 | 2.7809 | 0.4602 |
| 2.5717 | 3.0 | 8784 | 2.6882 | 0.4706 |
| 2.5132 | 4.0 | 11712 | 2.6348 | 0.4770 |
| 2.4683 | 5.0 | 14640 | 2.6046 | 0.4811 |
| 2.4265 | 6.0 | 17568 | 2.5843 | 0.4832 |
| 2.3937 | 7.0 | 20496 | 2.5710 | 0.4853 |
| 2.3639 | 8.0 | 23424 | 2.5552 | 0.4874 |
| 2.2858 | 9.0 | 26352 | 2.5045 | 0.4944 |
| 2.1423 | 10.0 | 29280 | 2.4779 | 0.5000 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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