metadata
base_model: models/smolm-autoreg-bpe-seed_555/config.json
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smolm-autoreg-bpe-seed_555
results: []
smolm-autoreg-bpe-seed_555
This model is a fine-tuned version of models/smolm-autoreg-bpe-seed_555/config.json on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5572
- Accuracy: 0.4865
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: 555
- 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 |
|---|---|---|---|---|
| 6.0722 | 1.0 | 732 | 3.5448 | 0.3932 |
| 3.4869 | 2.0 | 1464 | 3.1229 | 0.4320 |
| 2.9405 | 3.0 | 2196 | 2.9153 | 0.4493 |
| 2.8073 | 4.0 | 2928 | 2.7839 | 0.4623 |
| 2.6116 | 5.0 | 3660 | 2.6959 | 0.4708 |
| 2.5433 | 6.0 | 4392 | 2.6370 | 0.4772 |
| 2.4481 | 7.0 | 5124 | 2.6047 | 0.4806 |
| 2.4044 | 8.0 | 5856 | 2.5815 | 0.4826 |
| 2.3619 | 9.0 | 6588 | 2.5696 | 0.4854 |
| 2.322 | 10.0 | 7320 | 2.5572 | 0.4865 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3