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# smolm-autoreg-bpe-counterfactual-babylm-adj_num_freq_balanced-1e-4

This model was trained from scratch on the kanishka/counterfactual_babylm_aann_excess_adj_removal dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4526
- Accuracy: 0.4047

## 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: 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 4.0385        | 1.0   | 18629  | 4.2787          | 0.3095   |
| 3.5614        | 2.0   | 37258  | 3.7622          | 0.3617   |
| 3.387         | 3.0   | 55887  | 3.5845          | 0.3801   |
| 3.2838        | 4.0   | 74516  | 3.5198          | 0.3878   |
| 3.2159        | 5.0   | 93145  | 3.4798          | 0.3934   |
| 3.1607        | 6.0   | 111774 | 3.4551          | 0.3957   |
| 3.1171        | 7.0   | 130403 | 3.4418          | 0.3984   |
| 3.0789        | 8.0   | 149032 | 3.4402          | 0.3994   |
| 3.0465        | 9.0   | 167661 | 3.4255          | 0.4016   |
| 3.0191        | 10.0  | 186290 | 3.4157          | 0.4028   |
| 2.9864        | 11.0  | 204919 | 3.4152          | 0.4030   |
| 2.9701        | 12.0  | 223548 | 3.4240          | 0.4033   |
| 2.9439        | 13.0  | 242177 | 3.4312          | 0.4031   |
| 2.9252        | 14.0  | 260806 | 3.4275          | 0.4035   |
| 2.9045        | 15.0  | 279435 | 3.4313          | 0.4049   |
| 2.8853        | 16.0  | 298064 | 3.4346          | 0.4042   |
| 2.8657        | 17.0  | 316693 | 3.4414          | 0.4045   |
| 2.8449        | 18.0  | 335322 | 3.4522          | 0.4041   |
| 2.8304        | 19.0  | 353951 | 3.4497          | 0.4046   |
| 2.8151        | 20.0  | 372580 | 3.4526          | 0.4047   |


### 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_aann_excess_adj_removal model-index autotrain_compatible endpoints_compatible text-generation-inference region:us