---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smolm-autoreg-bpe-seed_8128
  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_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