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# smolm-autoreg-bpe-counterfactual-babylm-aann-indef-non_num_removal-3e-4

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: 3.4108
- Accuracy: 0.4083

## 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: 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.7334        | 1.0   | 18592  | 3.9107          | 0.3461   |
| 3.4315        | 2.0   | 37184  | 3.6329          | 0.3754   |
| 3.291         | 3.0   | 55776  | 3.5006          | 0.3893   |
| 3.2037        | 4.0   | 74368  | 3.4120          | 0.3973   |
| 3.1447        | 5.0   | 92960  | 3.4094          | 0.3997   |
| 3.0929        | 6.0   | 111552 | 3.3988          | 0.4018   |
| 3.0618        | 7.0   | 130144 | 3.3675          | 0.4038   |
| 3.0253        | 8.0   | 148736 | 3.3760          | 0.4047   |
| 2.9999        | 9.0   | 167328 | 3.3636          | 0.4058   |
| 2.9693        | 10.0  | 185920 | 3.3796          | 0.4061   |
| 2.9531        | 11.0  | 204512 | 3.3582          | 0.4069   |
| 2.9275        | 12.0  | 223104 | 3.3550          | 0.4077   |
| 2.9018        | 13.0  | 241696 | 3.3748          | 0.4081   |
| 2.8867        | 14.0  | 260288 | 3.3719          | 0.4084   |
| 2.8637        | 15.0  | 278880 | 3.3820          | 0.4083   |
| 2.845         | 16.0  | 297472 | 3.3909          | 0.4084   |
| 2.8247        | 17.0  | 316064 | 3.3850          | 0.4084   |
| 2.8071        | 18.0  | 334656 | 3.3954          | 0.4086   |
| 2.7843        | 19.0  | 353248 | 3.4035          | 0.4086   |
| 2.7704        | 20.0  | 371840 | 3.4108          | 0.4083   |


### 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