---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smolm-autoreg-bpe-counterfactual-babylm-measure_nps_as_singular-seed_211-1e-4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# smolm-autoreg-bpe-counterfactual-babylm-measure_nps_as_singular-seed_211-1e-4

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4453
- Accuracy: 0.4059

## 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: 211
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 4.0492        | 1.0   | 18601  | 4.2903          | 0.3076   |
| 3.5701        | 2.0   | 37202  | 3.7600          | 0.3619   |
| 3.3901        | 3.0   | 55803  | 3.5643          | 0.3811   |
| 3.2877        | 4.0   | 74404  | 3.4952          | 0.3893   |
| 3.2176        | 5.0   | 93005  | 3.4699          | 0.3940   |
| 3.1687        | 6.0   | 111606 | 3.4478          | 0.3967   |
| 3.1232        | 7.0   | 130207 | 3.4306          | 0.3992   |
| 3.0903        | 8.0   | 148808 | 3.4360          | 0.4007   |
| 3.0619        | 9.0   | 167409 | 3.4178          | 0.4020   |
| 3.0326        | 10.0  | 186010 | 3.4113          | 0.4025   |
| 3.0057        | 11.0  | 204611 | 3.4085          | 0.4036   |
| 2.9825        | 12.0  | 223212 | 3.4075          | 0.4043   |
| 2.9605        | 13.0  | 241813 | 3.4155          | 0.4047   |
| 2.9399        | 14.0  | 260414 | 3.4355          | 0.4047   |
| 2.9261        | 15.0  | 279015 | 3.4277          | 0.4055   |
| 2.9036        | 16.0  | 297616 | 3.4246          | 0.4057   |
| 2.8909        | 17.0  | 316217 | 3.4307          | 0.4058   |
| 2.8715        | 18.0  | 334818 | 3.4373          | 0.4058   |
| 2.8532        | 19.0  | 353419 | 3.4386          | 0.4062   |
| 2.8408        | 20.0  | 372020 | 3.4453          | 0.4059   |


### Framework versions

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