smolm-aochildes-vocab_8192-layers_8-attn_8-hidden_256-inter_1024-lr_1e-3-seed_42
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4920
- Accuracy: 0.4962
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: 0.001
- train_batch_size: 16
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 24000
- num_epochs: 20.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|
| 3.3054 | 1.0 | 2928 | 3.2320 | 0.4213 |
| 2.8563 | 2.0 | 5856 | 2.8929 | 0.4503 |
| 2.6596 | 3.0 | 8784 | 2.7392 | 0.4652 |
| 2.5465 | 4.0 | 11712 | 2.6691 | 0.4730 |
| 2.5012 | 5.0 | 14640 | 2.6355 | 0.4764 |
| 2.4757 | 6.0 | 17568 | 2.6153 | 0.4787 |
| 2.4509 | 7.0 | 20496 | 2.6033 | 0.4791 |
| 2.4401 | 8.0 | 23424 | 2.5999 | 0.4799 |
| 2.4264 | 9.0 | 26352 | 2.5776 | 0.4838 |
| 2.3886 | 10.0 | 29280 | 2.5566 | 0.4864 |
| 2.3385 | 11.0 | 32208 | 2.5341 | 0.4889 |
| 2.3074 | 12.0 | 35136 | 2.5232 | 0.4903 |
| 2.2746 | 13.0 | 38064 | 2.5146 | 0.4918 |
| 2.2323 | 14.0 | 40992 | 2.5030 | 0.4934 |
| 2.1894 | 15.0 | 43920 | 2.5011 | 0.4948 |
| 2.1608 | 16.0 | 46848 | 2.4920 | 0.4962 |
| 2.1094 | 17.0 | 49776 | 2.4947 | 0.4968 |
| 2.0509 | 18.0 | 52704 | 2.4931 | 0.4981 |
| 1.9852 | 19.0 | 55632 | 2.5010 | 0.4980 |
Framework versions
- Transformers 4.38.0
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.15.2
