
<!-- 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-1e-4

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9816
- Accuracy: 0.4424

## 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: 0.0001
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.5611        | 1.0   | 36836  | 3.4969          | 0.3818   |
| 3.2462        | 2.0   | 73672  | 3.2194          | 0.4102   |
| 3.109         | 3.0   | 110508 | 3.1212          | 0.4210   |
| 3.0408        | 4.0   | 147344 | 3.0694          | 0.4269   |
| 2.9901        | 5.0   | 184180 | 3.0376          | 0.4308   |
| 2.9291        | 6.0   | 221016 | 3.0166          | 0.4336   |
| 2.8924        | 7.0   | 257852 | 3.0016          | 0.4355   |
| 2.861         | 8.0   | 294688 | 2.9941          | 0.4371   |
| 2.8292        | 9.0   | 331524 | 2.9839          | 0.4384   |
| 2.8043        | 10.0  | 368360 | 2.9816          | 0.4390   |
| 2.7779        | 11.0  | 405196 | 2.9767          | 0.4399   |
| 2.7636        | 12.0  | 442032 | 2.9752          | 0.4404   |
| 2.735         | 13.0  | 478868 | 2.9758          | 0.4408   |
| 2.7232        | 14.0  | 515704 | 2.9750          | 0.4411   |
| 2.7068        | 15.0  | 552540 | 2.9745          | 0.4416   |
| 2.6855        | 16.0  | 589376 | 2.9752          | 0.4418   |
| 2.6627        | 17.0  | 626212 | 2.9769          | 0.4420   |
| 2.647         | 18.0  | 663048 | 2.9784          | 0.4422   |
| 2.6294        | 19.0  | 699884 | 2.9807          | 0.4423   |
| 2.6057        | 20.0  | 736720 | 2.9816          | 0.4424   |


### 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-1e-4", "results": []}]}
transformers safetensors opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us