---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smolm-autoreg-bpe-counterfactual-babylm-keys_to_pipps_2913-1e-3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# smolm-autoreg-bpe-counterfactual-babylm-keys_to_pipps_2913-1e-3

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3564
- Accuracy: 0.4106

## 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: 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.6052        | 1.0   | 18629  | 3.7008          | 0.3603   |
| 3.3934        | 2.0   | 37258  | 3.4882          | 0.3819   |
| 3.261         | 3.0   | 55887  | 3.4100          | 0.3927   |
| 3.1793        | 4.0   | 74516  | 3.3695          | 0.3987   |
| 3.1256        | 5.0   | 93145  | 3.3170          | 0.4025   |
| 3.0813        | 6.0   | 111774 | 3.3176          | 0.4054   |
| 3.0435        | 7.0   | 130403 | 3.3097          | 0.4068   |
| 3.0127        | 8.0   | 149032 | 3.3222          | 0.4076   |
| 2.9872        | 9.0   | 167661 | 3.2991          | 0.4085   |
| 2.9646        | 10.0  | 186290 | 3.2921          | 0.4099   |
| 2.9347        | 11.0  | 204919 | 3.3166          | 0.4099   |
| 2.9194        | 12.0  | 223548 | 3.3042          | 0.4112   |
| 2.8968        | 13.0  | 242177 | 3.3127          | 0.4103   |
| 2.8738        | 14.0  | 260806 | 3.3203          | 0.4110   |
| 2.8528        | 15.0  | 279435 | 3.3126          | 0.4112   |
| 2.8322        | 16.0  | 298064 | 3.3313          | 0.4112   |
| 2.817         | 17.0  | 316693 | 3.3349          | 0.4111   |
| 2.7973        | 18.0  | 335322 | 3.3472          | 0.4105   |
| 2.7825        | 19.0  | 353951 | 3.3492          | 0.4107   |
| 2.7582        | 20.0  | 372580 | 3.3564          | 0.4106   |


### Framework versions

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