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

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4062
- Accuracy: 0.4074

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 4.0544        | 1.0   | 18595  | 4.2768          | 0.3085   |
| 3.5624        | 2.0   | 37190  | 3.7462          | 0.3622   |
| 3.3886        | 3.0   | 55785  | 3.5878          | 0.3798   |
| 3.2934        | 4.0   | 74380  | 3.5136          | 0.3873   |
| 3.2224        | 5.0   | 92975  | 3.4496          | 0.3938   |
| 3.1698        | 6.0   | 111570 | 3.4367          | 0.3965   |
| 3.13          | 7.0   | 130165 | 3.4063          | 0.3991   |
| 3.0946        | 8.0   | 148760 | 3.3989          | 0.4013   |
| 3.0659        | 9.0   | 167355 | 3.3828          | 0.4033   |
| 3.0381        | 10.0  | 185950 | 3.3820          | 0.4042   |
| 3.0101        | 11.0  | 204545 | 3.3787          | 0.4050   |
| 2.9894        | 12.0  | 223140 | 3.3844          | 0.4057   |
| 2.9684        | 13.0  | 241735 | 3.3911          | 0.4050   |
| 2.9496        | 14.0  | 260330 | 3.3864          | 0.4062   |
| 2.9293        | 15.0  | 278925 | 3.3869          | 0.4068   |
| 2.9108        | 16.0  | 297520 | 3.3982          | 0.4067   |
| 2.8902        | 17.0  | 316115 | 3.3972          | 0.4068   |
| 2.8749        | 18.0  | 334710 | 3.3945          | 0.4075   |
| 2.8589        | 19.0  | 353305 | 3.4047          | 0.4072   |
| 2.8465        | 20.0  | 371900 | 3.4062          | 0.4074   |


### 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-1e-4", "results": []}]}
transformers safetensors opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us