<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
smolm-autoreg-bpe-seed_777
This model is a fine-tuned version of models/smolm-autoreg-bpe-seed_777/config.json on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5589
- Accuracy: 0.4861
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: 512
- seed: 777
- 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 |
|---|---|---|---|---|
| 6.0523 | 1.0 | 732 | 3.5472 | 0.3923 |
| 3.4966 | 2.0 | 1464 | 3.1274 | 0.4323 |
| 2.9442 | 3.0 | 2196 | 2.9186 | 0.4500 |
| 2.805 | 4.0 | 2928 | 2.7873 | 0.4610 |
| 2.6161 | 5.0 | 3660 | 2.7016 | 0.4695 |
| 2.5427 | 6.0 | 4392 | 2.6419 | 0.4766 |
| 2.4541 | 7.0 | 5124 | 2.6065 | 0.4810 |
| 2.4037 | 8.0 | 5856 | 2.5827 | 0.4835 |
| 2.364 | 9.0 | 6588 | 2.5672 | 0.4857 |
| 2.3232 | 10.0 | 7320 | 2.5589 | 0.4861 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
