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---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smolm-autoreg-bpe-seed_28
results: []
---
<!-- 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_28
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4754
- Accuracy: 0.4991
## 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: 28
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 3.0383 | 1.0 | 2928 | 3.0183 | 0.4371 |
| 2.7202 | 2.0 | 5856 | 2.7841 | 0.4601 |
| 2.5954 | 3.0 | 8784 | 2.7013 | 0.4689 |
| 2.5123 | 4.0 | 11712 | 2.6403 | 0.4755 |
| 2.4613 | 5.0 | 14640 | 2.6047 | 0.4802 |
| 2.4261 | 6.0 | 17568 | 2.5919 | 0.4824 |
| 2.3906 | 7.0 | 20496 | 2.5666 | 0.4850 |
| 2.3601 | 8.0 | 23424 | 2.5550 | 0.4861 |
| 2.2843 | 9.0 | 26352 | 2.5031 | 0.4940 |
| 2.1392 | 10.0 | 29280 | 2.4754 | 0.4991 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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