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# smolm-autoreg-bpe-counterfactual-babylm-indef-naan-rerun-1e-4

This model was trained from scratch on the kanishka/counterfactual_babylm_aann_indef_naan dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4083
- Accuracy: 0.4074

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 4.0503        | 1.0   | 18595  | 4.2445          | 0.3095   |
| 3.5628        | 2.0   | 37190  | 3.7291          | 0.3632   |
| 3.387         | 3.0   | 55785  | 3.5789          | 0.3803   |
| 3.2888        | 4.0   | 74380  | 3.5034          | 0.3888   |
| 3.2233        | 5.0   | 92975  | 3.4553          | 0.3932   |
| 3.169         | 6.0   | 111570 | 3.4258          | 0.3974   |
| 3.1266        | 7.0   | 130165 | 3.4167          | 0.3996   |
| 3.0969        | 8.0   | 148760 | 3.4030          | 0.4014   |
| 3.0645        | 9.0   | 167355 | 3.4076          | 0.4025   |
| 3.037         | 10.0  | 185950 | 3.3951          | 0.4039   |
| 3.0085        | 11.0  | 204545 | 3.3910          | 0.4048   |
| 2.9889        | 12.0  | 223140 | 3.3887          | 0.4054   |
| 2.9703        | 13.0  | 241735 | 3.3882          | 0.4060   |
| 2.9498        | 14.0  | 260330 | 3.3978          | 0.4059   |
| 2.9248        | 15.0  | 278925 | 3.3988          | 0.4062   |
| 2.9106        | 16.0  | 297520 | 3.3962          | 0.4067   |
| 2.8909        | 17.0  | 316115 | 3.3952          | 0.4070   |
| 2.8717        | 18.0  | 334710 | 3.3977          | 0.4072   |
| 2.8605        | 19.0  | 353305 | 3.4046          | 0.4074   |
| 2.8433        | 20.0  | 371900 | 3.4083          | 0.4074   |


### Framework versions

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

{"tags": ["generated_from_trainer"], "datasets": ["kanishka/counterfactual_babylm_aann_indef_naan"], "metrics": ["accuracy"], "model-index": [{"name": "smolm-autoreg-bpe-counterfactual-babylm-indef-naan-rerun-1e-4", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "kanishka/counterfactual_babylm_aann_indef_naan", "type": "kanishka/counterfactual_babylm_aann_indef_naan"}, "metrics": [{"type": "accuracy", "value": 0.4073649356157122, "name": "Accuracy"}]}]}]}
transformers safetensors opt text-generation generated_from_trainer dataset:kanishka/counterfactual_babylm_aann_indef_naan model-index autotrain_compatible endpoints_compatible text-generation-inference region:us