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# smolm-autoreg-bpe-counterfactual-babylm-measure_nouns_as_singular-1e-4

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4389
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 4.0509        | 1.0   | 18601  | 4.2702          | 0.3088   |
| 3.5652        | 2.0   | 37202  | 3.7588          | 0.3620   |
| 3.3901        | 3.0   | 55803  | 3.5793          | 0.3800   |
| 3.2869        | 4.0   | 74404  | 3.5155          | 0.3878   |
| 3.2168        | 5.0   | 93005  | 3.4715          | 0.3931   |
| 3.1666        | 6.0   | 111606 | 3.4565          | 0.3963   |
| 3.1242        | 7.0   | 130207 | 3.4256          | 0.3991   |
| 3.0904        | 8.0   | 148808 | 3.4346          | 0.4000   |
| 3.0606        | 9.0   | 167409 | 3.4066          | 0.4018   |
| 3.033         | 10.0  | 186010 | 3.4015          | 0.4027   |
| 3.0108        | 11.0  | 204611 | 3.4069          | 0.4033   |
| 2.9869        | 12.0  | 223212 | 3.4086          | 0.4035   |
| 2.9637        | 13.0  | 241813 | 3.4111          | 0.4039   |
| 2.9416        | 14.0  | 260414 | 3.4144          | 0.4046   |
| 2.9266        | 15.0  | 279015 | 3.4286          | 0.4046   |
| 2.9037        | 16.0  | 297616 | 3.4228          | 0.4051   |
| 2.8903        | 17.0  | 316217 | 3.4242          | 0.4053   |
| 2.8698        | 18.0  | 334818 | 3.4324          | 0.4054   |
| 2.8525        | 19.0  | 353419 | 3.4348          | 0.4055   |
| 2.8352        | 20.0  | 372020 | 3.4389          | 0.4055   |


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