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# smolm-autoreg-bpe-counterfactual-babylm-aann-no_prototypical-1e-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: 3.4271
- Accuracy: 0.4055

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 4.0511        | 1.0   | 18593  | 4.2335          | 0.3107   |
| 3.5697        | 2.0   | 37186  | 3.7359          | 0.3642   |
| 3.39          | 3.0   | 55779  | 3.6033          | 0.3791   |
| 3.2888        | 4.0   | 74372  | 3.5071          | 0.3874   |
| 3.2214        | 5.0   | 92965  | 3.4889          | 0.3918   |
| 3.1735        | 6.0   | 111558 | 3.4516          | 0.3960   |
| 3.1316        | 7.0   | 130151 | 3.4183          | 0.3984   |
| 3.0945        | 8.0   | 148744 | 3.4247          | 0.3994   |
| 3.0622        | 9.0   | 167337 | 3.4341          | 0.4006   |
| 3.038         | 10.0  | 185930 | 3.4303          | 0.4018   |
| 3.0204        | 11.0  | 204523 | 3.3948          | 0.4032   |
| 2.9872        | 12.0  | 223116 | 3.3971          | 0.4044   |
| 2.9714        | 13.0  | 241709 | 3.3949          | 0.4049   |
| 2.9537        | 14.0  | 260302 | 3.4084          | 0.4045   |
| 2.9321        | 15.0  | 278895 | 3.4070          | 0.4049   |
| 2.9125        | 16.0  | 297488 | 3.4046          | 0.4054   |
| 2.8953        | 17.0  | 316081 | 3.4124          | 0.4052   |
| 2.8782        | 18.0  | 334674 | 3.4225          | 0.4053   |
| 2.8601        | 19.0  | 353267 | 3.4227          | 0.4055   |
| 2.8494        | 20.0  | 371860 | 3.4271          | 0.4055   |


### 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-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": 0.40553781257269983, "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