---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smolm-autoreg-bpe-babylm-seed_1024-1e-3
  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-babylm-seed_1024-1e-3

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4044
- Accuracy: 0.4112

## 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: 0.001
- train_batch_size: 32
- eval_batch_size: 128
- seed: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 32000
- num_epochs: 20.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Accuracy |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.5972        | 1.0   | 18595  | 3.7848          | 0.3596   |
| 3.3783        | 2.0   | 37190  | 3.5924          | 0.3811   |
| 3.2531        | 3.0   | 55785  | 3.4617          | 0.3919   |
| 3.1768        | 4.0   | 74380  | 3.4215          | 0.3983   |
| 3.1209        | 5.0   | 92975  | 3.3891          | 0.4028   |
| 3.0769        | 6.0   | 111570 | 3.3921          | 0.4039   |
| 3.0421        | 7.0   | 130165 | 3.3538          | 0.4070   |
| 3.0089        | 8.0   | 148760 | 3.3607          | 0.4076   |
| 2.9842        | 9.0   | 167355 | 3.3492          | 0.4094   |
| 2.9595        | 10.0  | 185950 | 3.3596          | 0.4097   |
| 2.9382        | 11.0  | 204545 | 3.3544          | 0.4101   |
| 2.9125        | 12.0  | 223140 | 3.3588          | 0.4107   |
| 2.8929        | 13.0  | 241735 | 3.3648          | 0.4109   |
| 2.8689        | 14.0  | 260330 | 3.3662          | 0.4110   |
| 2.8494        | 15.0  | 278925 | 3.3657          | 0.4116   |
| 2.8316        | 16.0  | 297520 | 3.3748          | 0.4114   |
| 2.8151        | 17.0  | 316115 | 3.3865          | 0.4114   |
| 2.797         | 18.0  | 334710 | 3.3825          | 0.4115   |
| 2.7759        | 19.0  | 353305 | 3.4028          | 0.4111   |
| 2.7566        | 20.0  | 371900 | 3.4044          | 0.4112   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.12.0
- Tokenizers 0.14.1