transformers safetensors opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smolm-autoreg-bpe-counterfactual-babylm-indef_articles_with_pl_nouns-removal-seed_1024-3e-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-indef_articles_with_pl_nouns-removal-seed_1024-3e-4

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4219
- 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: 1024
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.7355        | 1.0   | 18601  | 3.9075          | 0.3465   |
| 3.4271        | 2.0   | 37202  | 3.6102          | 0.3750   |
| 3.2876        | 3.0   | 55803  | 3.5109          | 0.3901   |
| 3.2           | 4.0   | 74404  | 3.4616          | 0.3953   |
| 3.1388        | 5.0   | 93005  | 3.4213          | 0.4001   |
| 3.098         | 6.0   | 111606 | 3.3978          | 0.4025   |
| 3.056         | 7.0   | 130207 | 3.3816          | 0.4040   |
| 3.0187        | 8.0   | 148808 | 3.3687          | 0.4057   |
| 2.9967        | 9.0   | 167409 | 3.3774          | 0.4064   |
| 2.9669        | 10.0  | 186010 | 3.3665          | 0.4075   |
| 2.943         | 11.0  | 204611 | 3.3829          | 0.4083   |
| 2.9161        | 12.0  | 223212 | 3.3787          | 0.4082   |
| 2.8964        | 13.0  | 241813 | 3.3810          | 0.4084   |
| 2.8746        | 14.0  | 260414 | 3.3963          | 0.4083   |
| 2.8563        | 15.0  | 279015 | 3.3931          | 0.4083   |
| 2.8343        | 16.0  | 297616 | 3.4001          | 0.4087   |
| 2.8146        | 17.0  | 316217 | 3.4094          | 0.4083   |
| 2.7947        | 18.0  | 334818 | 3.4094          | 0.4086   |
| 2.7805        | 19.0  | 353419 | 3.4176          | 0.4084   |
| 2.7612        | 20.0  | 372020 | 3.4219          | 0.4085   |


### Framework versions

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