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-naan-rerun-seed_211-1e-3
  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-naan-rerun-seed_211-1e-3

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3899
- Accuracy: 0.4102

## 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: 0.001
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.609         | 1.0   | 18595  | 3.7746          | 0.3579   |
| 3.3897        | 2.0   | 37190  | 3.5901          | 0.3796   |
| 3.2605        | 3.0   | 55785  | 3.4973          | 0.3907   |
| 3.1827        | 4.0   | 74380  | 3.4189          | 0.3974   |
| 3.1266        | 5.0   | 92975  | 3.3874          | 0.4008   |
| 3.0797        | 6.0   | 111570 | 3.3626          | 0.4042   |
| 3.0487        | 7.0   | 130165 | 3.3572          | 0.4056   |
| 3.013         | 8.0   | 148760 | 3.3443          | 0.4064   |
| 2.9887        | 9.0   | 167355 | 3.3174          | 0.4100   |
| 2.9647        | 10.0  | 185950 | 3.3443          | 0.4084   |
| 2.9391        | 11.0  | 204545 | 3.3480          | 0.4084   |
| 2.9168        | 12.0  | 223140 | 3.3559          | 0.4091   |
| 2.8932        | 13.0  | 241735 | 3.3512          | 0.4097   |
| 2.8792        | 14.0  | 260330 | 3.3588          | 0.4096   |
| 2.8589        | 15.0  | 278925 | 3.3503          | 0.4104   |
| 2.8383        | 16.0  | 297520 | 3.3521          | 0.4112   |
| 2.8176        | 17.0  | 316115 | 3.3657          | 0.4106   |
| 2.7984        | 18.0  | 334710 | 3.3684          | 0.4110   |
| 2.7782        | 19.0  | 353305 | 3.3871          | 0.4102   |
| 2.7603        | 20.0  | 371900 | 3.3899          | 0.4102   |


### Framework versions

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