---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smolm-autoreg-bpe-seed_666
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# smolm-autoreg-bpe-seed_666

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4754
- Accuracy: 0.4997

## 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: 666
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 3.0568        | 1.0   | 2928  | 3.0170          | 0.4376   |
| 2.7079        | 2.0   | 5856  | 2.7879          | 0.4585   |
| 2.5856        | 3.0   | 8784  | 2.6924          | 0.4706   |
| 2.5108        | 4.0   | 11712 | 2.6403          | 0.4762   |
| 2.4576        | 5.0   | 14640 | 2.6072          | 0.4796   |
| 2.423         | 6.0   | 17568 | 2.5828          | 0.4825   |
| 2.3921        | 7.0   | 20496 | 2.5670          | 0.4854   |
| 2.3602        | 8.0   | 23424 | 2.5533          | 0.4871   |
| 2.2861        | 9.0   | 26352 | 2.5010          | 0.4942   |
| 2.1381        | 10.0  | 29280 | 2.4754          | 0.4997   |


### Framework versions

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