metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smolm-autoreg-bpe-seed_222
results: []
smolm-autoreg-bpe-seed_222
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4730
- Accuracy: 0.5002
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: 222
- 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 |
|---|---|---|---|---|
| 3.0482 | 1.0 | 2928 | 3.0123 | 0.4383 |
| 2.72 | 2.0 | 5856 | 2.7827 | 0.4602 |
| 2.5878 | 3.0 | 8784 | 2.6919 | 0.4693 |
| 2.5096 | 4.0 | 11712 | 2.6322 | 0.4775 |
| 2.4696 | 5.0 | 14640 | 2.6080 | 0.4803 |
| 2.4356 | 6.0 | 17568 | 2.5834 | 0.4818 |
| 2.386 | 7.0 | 20496 | 2.5648 | 0.4854 |
| 2.3579 | 8.0 | 23424 | 2.5603 | 0.4861 |
| 2.2817 | 9.0 | 26352 | 2.5003 | 0.4944 |
| 2.1431 | 10.0 | 29280 | 2.4730 | 0.5002 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1