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# smolm-autoreg-bpe-counterfactual-babylm-aann-no_prototypical-1e-3

This model was trained from scratch on the kanishka/counterfactual_babylm_without_prototypical dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4003
- Accuracy: 0.4104

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.6055        | 1.0   | 18593  | 3.7471          | 0.3605   |
| 3.3898        | 2.0   | 37186  | 3.5520          | 0.3816   |
| 3.2573        | 3.0   | 55779  | 3.4588          | 0.3926   |
| 3.1772        | 4.0   | 74372  | 3.4027          | 0.3981   |
| 3.1222        | 5.0   | 92965  | 3.3932          | 0.4025   |
| 3.0822        | 6.0   | 111558 | 3.3665          | 0.4043   |
| 3.0455        | 7.0   | 130151 | 3.3444          | 0.4067   |
| 3.0126        | 8.0   | 148744 | 3.3516          | 0.4075   |
| 2.9826        | 9.0   | 167337 | 3.3554          | 0.4078   |
| 2.9605        | 10.0  | 185930 | 3.3593          | 0.4088   |
| 2.9434        | 11.0  | 204523 | 3.3505          | 0.4095   |
| 2.9119        | 12.0  | 223116 | 3.3754          | 0.4095   |
| 2.8959        | 13.0  | 241709 | 3.3711          | 0.4097   |
| 2.8775        | 14.0  | 260302 | 3.3739          | 0.4101   |
| 2.8544        | 15.0  | 278895 | 3.3737          | 0.4102   |
| 2.834         | 16.0  | 297488 | 3.3739          | 0.4108   |
| 2.8149        | 17.0  | 316081 | 3.3841          | 0.4103   |
| 2.7956        | 18.0  | 334674 | 3.3839          | 0.4105   |
| 2.775         | 19.0  | 353267 | 3.3899          | 0.4106   |
| 2.7617        | 20.0  | 371860 | 3.4003          | 0.4104   |


### 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_without_prototypical"], "metrics": ["accuracy"], "model-index": [{"name": "smolm-autoreg-bpe-counterfactual-babylm-aann-no_prototypical-1e-3", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "kanishka/counterfactual_babylm_without_prototypical", "type": "kanishka/counterfactual_babylm_without_prototypical"}, "metrics": [{"type": "accuracy", "value": 0.410371177110484, "name": "Accuracy"}]}]}]}
transformers safetensors opt text-generation generated_from_trainer dataset:kanishka/counterfactual_babylm_without_prototypical model-index autotrain_compatible endpoints_compatible text-generation-inference region:us