---
base_model: models/smolm-autoreg-bpe-seed_888/config.json
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smolm-autoreg-bpe-seed_888
  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_888

This model is a fine-tuned version of [models/smolm-autoreg-bpe-seed_888/config.json](https://huggingface.co/models/smolm-autoreg-bpe-seed_888/config.json) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5572
- Accuracy: 0.4861

## 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: 64
- eval_batch_size: 512
- seed: 888
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 6.1167        | 1.0   | 732  | 3.5358          | 0.3947   |
| 3.4801        | 2.0   | 1464 | 3.1202          | 0.4320   |
| 2.9429        | 3.0   | 2196 | 2.9158          | 0.4498   |
| 2.8071        | 4.0   | 2928 | 2.7906          | 0.4605   |
| 2.6197        | 5.0   | 3660 | 2.6998          | 0.4701   |
| 2.5459        | 6.0   | 4392 | 2.6419          | 0.4760   |
| 2.4492        | 7.0   | 5124 | 2.6036          | 0.4802   |
| 2.4065        | 8.0   | 5856 | 2.5770          | 0.4824   |
| 2.3626        | 9.0   | 6588 | 2.5622          | 0.4863   |
| 2.3276        | 10.0  | 7320 | 2.5572          | 0.4861   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3