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# smolm-autoreg-bpe-counterfactual-babylm-indef-anan-1e-4

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4448
- Accuracy: 0.4067

## 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: 16
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.7101        | 1.0   | 37190  | 3.8901          | 0.3473   |
| 3.4207        | 2.0   | 74380  | 3.6009          | 0.3779   |
| 3.2969        | 3.0   | 111570 | 3.5215          | 0.3879   |
| 3.2188        | 4.0   | 148760 | 3.4783          | 0.3938   |
| 3.1613        | 5.0   | 185950 | 3.4380          | 0.3973   |
| 3.1166        | 6.0   | 223140 | 3.4355          | 0.3997   |
| 3.0841        | 7.0   | 260330 | 3.4268          | 0.4006   |
| 3.0521        | 8.0   | 297520 | 3.3898          | 0.4037   |
| 3.0221        | 9.0   | 334710 | 3.4219          | 0.4038   |
| 2.9956        | 10.0  | 371900 | 3.4051          | 0.4044   |
| 2.9757        | 11.0  | 409090 | 3.4273          | 0.4043   |
| 2.9561        | 12.0  | 446280 | 3.4057          | 0.4056   |
| 2.9323        | 13.0  | 483470 | 3.4212          | 0.4060   |
| 2.9141        | 14.0  | 520660 | 3.4264          | 0.4063   |
| 2.8904        | 15.0  | 557850 | 3.4196          | 0.4060   |
| 2.871         | 16.0  | 595040 | 3.4227          | 0.4065   |
| 2.8644        | 17.0  | 632230 | 3.4368          | 0.4064   |
| 2.8424        | 18.0  | 669420 | 3.4319          | 0.4067   |
| 2.8199        | 19.0  | 706610 | 3.4396          | 0.4068   |
| 2.8162        | 20.0  | 743800 | 3.4448          | 0.4067   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.12.0
- Tokenizers 0.14.1

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "smolm-autoreg-bpe-counterfactual-babylm-indef-anan-1e-4", "results": []}]}
transformers safetensors opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us