smolm-autoreg-bpe-seed_496
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4752
- Accuracy: 0.4995
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: 496
- 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 |
---|---|---|---|---|
3.0603 | 1.0 | 2928 | 3.0255 | 0.4367 |
2.7088 | 2.0 | 5856 | 2.7873 | 0.4580 |
2.586 | 3.0 | 8784 | 2.6956 | 0.4688 |
2.5037 | 4.0 | 11712 | 2.6362 | 0.4772 |
2.466 | 5.0 | 14640 | 2.6123 | 0.4787 |
2.4203 | 6.0 | 17568 | 2.5878 | 0.4828 |
2.3871 | 7.0 | 20496 | 2.5691 | 0.4855 |
2.367 | 8.0 | 23424 | 2.5567 | 0.4880 |
2.2871 | 9.0 | 26352 | 2.5026 | 0.4941 |
2.1368 | 10.0 | 29280 | 2.4752 | 0.4995 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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