metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smolm-autoreg-bpe-seed_8128
results: []
smolm-autoreg-bpe-seed_8128
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4757
- Accuracy: 0.4994
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: 8128
- 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 |
|---|---|---|---|---|
| 3.0573 | 1.0 | 2928 | 3.0221 | 0.4374 |
| 2.7148 | 2.0 | 5856 | 2.7910 | 0.4589 |
| 2.5912 | 3.0 | 8784 | 2.6989 | 0.4683 |
| 2.5153 | 4.0 | 11712 | 2.6402 | 0.4762 |
| 2.4585 | 5.0 | 14640 | 2.6094 | 0.4799 |
| 2.4202 | 6.0 | 17568 | 2.5849 | 0.4829 |
| 2.395 | 7.0 | 20496 | 2.5703 | 0.4845 |
| 2.363 | 8.0 | 23424 | 2.5577 | 0.4859 |
| 2.2878 | 9.0 | 26352 | 2.5095 | 0.4940 |
| 2.1407 | 10.0 | 29280 | 2.4757 | 0.4994 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1