---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smolm-autoreg-bpe-seed_1729
  results: []
---

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# smolm-autoreg-bpe-seed_1729

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4741
- Accuracy: 0.4993

## 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: 1729
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 3.0421        | 1.0   | 2928  | 3.0145          | 0.4376   |
| 2.7062        | 2.0   | 5856  | 2.7902          | 0.4590   |
| 2.5829        | 3.0   | 8784  | 2.6946          | 0.4682   |
| 2.5042        | 4.0   | 11712 | 2.6443          | 0.4750   |
| 2.4588        | 5.0   | 14640 | 2.6083          | 0.4793   |
| 2.4252        | 6.0   | 17568 | 2.5868          | 0.4829   |
| 2.3884        | 7.0   | 20496 | 2.5670          | 0.4854   |
| 2.3624        | 8.0   | 23424 | 2.5582          | 0.4855   |
| 2.2859        | 9.0   | 26352 | 2.5018          | 0.4944   |
| 2.1433        | 10.0  | 29280 | 2.4741          | 0.4993   |


### Framework versions

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