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# smolm-autoreg-bpe-counterfactual-babylm-indef-anan-1e-3

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4352
- Accuracy: 0.4091

## 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: 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.529         | 1.0   | 37190  | 3.7336          | 0.3656   |
| 3.3227        | 2.0   | 74380  | 3.5026          | 0.3875   |
| 3.2211        | 3.0   | 111570 | 3.4307          | 0.3956   |
| 3.1549        | 4.0   | 148760 | 3.4104          | 0.4000   |
| 3.1042        | 5.0   | 185950 | 3.3540          | 0.4081   |
| 3.0649        | 6.0   | 223140 | 3.3679          | 0.4067   |
| 3.0354        | 7.0   | 260330 | 3.3612          | 0.4067   |
| 3.0057        | 8.0   | 297520 | 3.3286          | 0.4122   |
| 2.9771        | 9.0   | 334710 | 3.3623          | 0.4088   |
| 2.9514        | 10.0  | 371900 | 3.3526          | 0.4091   |
| 2.9324        | 11.0  | 409090 | 3.3801          | 0.4086   |
| 2.9125        | 12.0  | 446280 | 3.3819          | 0.4101   |
| 2.8878        | 13.0  | 483470 | 3.3952          | 0.4081   |
| 2.8694        | 14.0  | 520660 | 3.3821          | 0.4102   |
| 2.8447        | 15.0  | 557850 | 3.3905          | 0.4100   |
| 2.8259        | 16.0  | 595040 | 3.3960          | 0.4102   |
| 2.8158        | 17.0  | 632230 | 3.4224          | 0.4084   |
| 2.7923        | 18.0  | 669420 | 3.4164          | 0.4094   |
| 2.7687        | 19.0  | 706610 | 3.4260          | 0.4093   |
| 2.7621        | 20.0  | 743800 | 3.4352          | 0.4091   |


### 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-3", "results": []}]}
transformers safetensors opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us