smolm-autoreg-bpe-seed_666
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4754
- Accuracy: 0.4997
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: 666
- 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 |
---|---|---|---|---|
3.0568 | 1.0 | 2928 | 3.0170 | 0.4376 |
2.7079 | 2.0 | 5856 | 2.7879 | 0.4585 |
2.5856 | 3.0 | 8784 | 2.6924 | 0.4706 |
2.5108 | 4.0 | 11712 | 2.6403 | 0.4762 |
2.4576 | 5.0 | 14640 | 2.6072 | 0.4796 |
2.423 | 6.0 | 17568 | 2.5828 | 0.4825 |
2.3921 | 7.0 | 20496 | 2.5670 | 0.4854 |
2.3602 | 8.0 | 23424 | 2.5533 | 0.4871 |
2.2861 | 9.0 | 26352 | 2.5010 | 0.4942 |
2.1381 | 10.0 | 29280 | 2.4754 | 0.4997 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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