
<!-- 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-3e-4

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9796
- Accuracy: 0.4439

## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.4296        | 1.0   | 36836  | 3.3844          | 0.3922   |
| 3.1692        | 2.0   | 73672  | 3.1547          | 0.4168   |
| 3.047         | 3.0   | 110508 | 3.0720          | 0.4262   |
| 2.9866        | 4.0   | 147344 | 3.0300          | 0.4314   |
| 2.9408        | 5.0   | 184180 | 3.0032          | 0.4348   |
| 2.8828        | 6.0   | 221016 | 2.9867          | 0.4371   |
| 2.8491        | 7.0   | 257852 | 2.9747          | 0.4389   |
| 2.8193        | 8.0   | 294688 | 2.9672          | 0.4402   |
| 2.7888        | 9.0   | 331524 | 2.9623          | 0.4414   |
| 2.7644        | 10.0  | 368360 | 2.9606          | 0.4419   |
| 2.7384        | 11.0  | 405196 | 2.9590          | 0.4426   |
| 2.7248        | 12.0  | 442032 | 2.9573          | 0.4429   |
| 2.6959        | 13.0  | 478868 | 2.9633          | 0.4429   |
| 2.6835        | 14.0  | 515704 | 2.9619          | 0.4434   |
| 2.6676        | 15.0  | 552540 | 2.9659          | 0.4435   |
| 2.6449        | 16.0  | 589376 | 2.9655          | 0.4438   |
| 2.6219        | 17.0  | 626212 | 2.9679          | 0.4440   |
| 2.6054        | 18.0  | 663048 | 2.9723          | 0.4440   |
| 2.587         | 19.0  | 699884 | 2.9768          | 0.4439   |
| 2.5609        | 20.0  | 736720 | 2.9796          | 0.4439   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "smolm-autoreg-bpe-babylm-3e-4", "results": []}]}
transformers safetensors opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us