---
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: 2.2831
- Accuracy: 0.5426

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 5.8023        | 1.0   | 826  | 3.1092          | 0.4621   |
| 2.7942        | 2.0   | 1652 | 2.7389          | 0.4975   |
| 2.625         | 3.0   | 2478 | 2.5701          | 0.5110   |
| 2.412         | 4.0   | 3304 | 2.4619          | 0.5223   |
| 2.2885        | 5.0   | 4130 | 2.3940          | 0.5288   |
| 2.2294        | 6.0   | 4956 | 2.3464          | 0.5342   |
| 2.16          | 7.0   | 5782 | 2.3206          | 0.5372   |
| 2.1272        | 8.0   | 6608 | 2.3046          | 0.5395   |
| 2.0865        | 9.0   | 7434 | 2.2912          | 0.5405   |
| 2.0577        | 10.0  | 8260 | 2.2831          | 0.5426   |


### Framework versions

- Transformers 4.32.1
- Pytorch 1.13.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3