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# smolm-autoreg-bpe-counterfactual-babylm-indef-removal-3e-4

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4106
- Accuracy: 0.4085

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.7378        | 1.0   | 18595  | 3.8944          | 0.3462   |
| 3.432         | 2.0   | 37190  | 3.6205          | 0.3749   |
| 3.292         | 3.0   | 55785  | 3.4884          | 0.3891   |
| 3.2105        | 4.0   | 74380  | 3.4225          | 0.3963   |
| 3.1475        | 5.0   | 92975  | 3.4046          | 0.3996   |
| 3.0992        | 6.0   | 111570 | 3.4007          | 0.4017   |
| 3.0631        | 7.0   | 130165 | 3.3653          | 0.4045   |
| 3.0291        | 8.0   | 148760 | 3.3618          | 0.4058   |
| 3.0016        | 9.0   | 167355 | 3.3573          | 0.4066   |
| 2.9751        | 10.0  | 185950 | 3.3544          | 0.4072   |
| 2.9479        | 11.0  | 204545 | 3.3545          | 0.4072   |
| 2.9272        | 12.0  | 223140 | 3.3669          | 0.4073   |
| 2.906         | 13.0  | 241735 | 3.3645          | 0.4082   |
| 2.8863        | 14.0  | 260330 | 3.3630          | 0.4088   |
| 2.8656        | 15.0  | 278925 | 3.3719          | 0.4092   |
| 2.8463        | 16.0  | 297520 | 3.3868          | 0.4083   |
| 2.8239        | 17.0  | 316115 | 3.3830          | 0.4089   |
| 2.8067        | 18.0  | 334710 | 3.3937          | 0.4089   |
| 2.7886        | 19.0  | 353305 | 3.4057          | 0.4085   |
| 2.7732        | 20.0  | 371900 | 3.4106          | 0.4085   |


### 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-removal-3e-4", "results": []}]}
transformers safetensors opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us