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# smolm-autoreg-bpe-counterfactual-babylm-only_measure_nps_as_singular_removal-1e-3

This model was trained from scratch on the kanishka/counterfactual-babylm-only_measure_nps_as_singular_removal dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3908
- Accuracy: 0.4133

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.5989        | 1.0   | 18600  | 3.7674          | 0.3583   |
| 3.3772        | 2.0   | 37200  | 3.5890          | 0.3797   |
| 3.2519        | 3.0   | 55800  | 3.4638          | 0.3934   |
| 3.1739        | 4.0   | 74400  | 3.4033          | 0.3988   |
| 3.1143        | 5.0   | 93000  | 3.3692          | 0.4037   |
| 3.0706        | 6.0   | 111600 | 3.3750          | 0.4049   |
| 3.0371        | 7.0   | 130200 | 3.3584          | 0.4069   |
| 3.0052        | 8.0   | 148800 | 3.3419          | 0.4092   |
| 2.9778        | 9.0   | 167400 | 3.3557          | 0.4092   |
| 2.9507        | 10.0  | 186000 | 3.3506          | 0.4108   |
| 2.9315        | 11.0  | 204600 | 3.3575          | 0.4108   |
| 2.9052        | 12.0  | 223200 | 3.3518          | 0.4115   |
| 2.8856        | 13.0  | 241800 | 3.3580          | 0.4114   |
| 2.8675        | 14.0  | 260400 | 3.3460          | 0.4129   |
| 2.847         | 15.0  | 279000 | 3.3571          | 0.4130   |
| 2.8246        | 16.0  | 297600 | 3.3696          | 0.4134   |
| 2.8069        | 17.0  | 316200 | 3.3648          | 0.4141   |
| 2.7821        | 18.0  | 334800 | 3.3727          | 0.4136   |
| 2.7721        | 19.0  | 353400 | 3.3847          | 0.4136   |
| 2.7454        | 20.0  | 372000 | 3.3908          | 0.4133   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

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