---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smolm-autoreg-bpe-seed_111
  results: []
---

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# smolm-autoreg-bpe-seed_111

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4759
- Accuracy: 0.5000

## 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: 111
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 3.0508        | 1.0   | 2928  | 3.0180          | 0.4367   |
| 2.7062        | 2.0   | 5856  | 2.7857          | 0.4600   |
| 2.5923        | 3.0   | 8784  | 2.6900          | 0.4700   |
| 2.5183        | 4.0   | 11712 | 2.6405          | 0.4760   |
| 2.4632        | 5.0   | 14640 | 2.6110          | 0.4799   |
| 2.4241        | 6.0   | 17568 | 2.5840          | 0.4835   |
| 2.3815        | 7.0   | 20496 | 2.5728          | 0.4851   |
| 2.3595        | 8.0   | 23424 | 2.5581          | 0.4867   |
| 2.2838        | 9.0   | 26352 | 2.5014          | 0.4949   |
| 2.1364        | 10.0  | 29280 | 2.4759          | 0.5000   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1