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# smolm-autoreg-bpe-counterfactual-babylm-aann-indef-non_num_removal-1e-3

This model was trained from scratch on the kanishka/counterfactual-babylm-aanns_indef_non_num_removal dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3843
- Accuracy: 0.4123

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.6007        | 1.0   | 18592  | 3.7977          | 0.3594   |
| 3.3842        | 2.0   | 37184  | 3.5559          | 0.3813   |
| 3.258         | 3.0   | 55776  | 3.4575          | 0.3925   |
| 3.1779        | 4.0   | 74368  | 3.3995          | 0.3990   |
| 3.1232        | 5.0   | 92960  | 3.3918          | 0.4016   |
| 3.0747        | 6.0   | 111552 | 3.3719          | 0.4039   |
| 3.0457        | 7.0   | 130144 | 3.3350          | 0.4080   |
| 3.0106        | 8.0   | 148736 | 3.3603          | 0.4063   |
| 2.9872        | 9.0   | 167328 | 3.3405          | 0.4092   |
| 2.957         | 10.0  | 185920 | 3.3396          | 0.4107   |
| 2.9414        | 11.0  | 204512 | 3.3313          | 0.4108   |
| 2.9166        | 12.0  | 223104 | 3.3352          | 0.4120   |
| 2.8912        | 13.0  | 241696 | 3.3347          | 0.4120   |
| 2.8764        | 14.0  | 260288 | 3.3473          | 0.4119   |
| 2.854         | 15.0  | 278880 | 3.3459          | 0.4128   |
| 2.8354        | 16.0  | 297472 | 3.3604          | 0.4123   |
| 2.8152        | 17.0  | 316064 | 3.3503          | 0.4136   |
| 2.7971        | 18.0  | 334656 | 3.3643          | 0.4134   |
| 2.7738        | 19.0  | 353248 | 3.3726          | 0.4129   |
| 2.7594        | 20.0  | 371840 | 3.3843          | 0.4123   |


### Framework versions

- Transformers 4.36.0
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

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transformers safetensors opt text-generation generated_from_trainer dataset:kanishka/counterfactual-babylm-aanns_indef_non_num_removal model-index autotrain_compatible endpoints_compatible text-generation-inference region:us