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# smolm-autoreg-bpe-counterfactual-babylm-aann-no_prototypical-3e-4

This model was trained from scratch on the kanishka/counterfactual_babylm_without_prototypical dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4242
- Accuracy: 0.4087

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.738         | 1.0   | 18593  | 3.8623          | 0.3488   |
| 3.4383        | 2.0   | 37186  | 3.6089          | 0.3755   |
| 3.2925        | 3.0   | 55779  | 3.5010          | 0.3888   |
| 3.2055        | 4.0   | 74372  | 3.4100          | 0.3959   |
| 3.1461        | 5.0   | 92965  | 3.4109          | 0.4001   |
| 3.1029        | 6.0   | 111558 | 3.3880          | 0.4016   |
| 3.0643        | 7.0   | 130151 | 3.3745          | 0.4044   |
| 3.0298        | 8.0   | 148744 | 3.3771          | 0.4053   |
| 2.9984        | 9.0   | 167337 | 3.3831          | 0.4060   |
| 2.9747        | 10.0  | 185930 | 3.4011          | 0.4065   |
| 2.9573        | 11.0  | 204523 | 3.3670          | 0.4077   |
| 2.925         | 12.0  | 223116 | 3.3797          | 0.4083   |
| 2.9085        | 13.0  | 241709 | 3.3926          | 0.4079   |
| 2.8902        | 14.0  | 260302 | 3.3865          | 0.4088   |
| 2.8665        | 15.0  | 278895 | 3.3980          | 0.4086   |
| 2.8463        | 16.0  | 297488 | 3.3972          | 0.4092   |
| 2.8272        | 17.0  | 316081 | 3.4006          | 0.4089   |
| 2.8085        | 18.0  | 334674 | 3.4044          | 0.4090   |
| 2.7882        | 19.0  | 353267 | 3.4141          | 0.4088   |
| 2.7754        | 20.0  | 371860 | 3.4242          | 0.4087   |


### 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-3e-4", "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": 0.4086648411559096, "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