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_1024-1e-3
  results: []
---

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# smolm-autoreg-bpe-counterfactual-babylm-indef-naan-rerun-seed_1024-1e-3

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4016
- Accuracy: 0.4111

## 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: 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.5989        | 1.0   | 18595  | 3.7872          | 0.3601   |
| 3.3881        | 2.0   | 37190  | 3.5672          | 0.3809   |
| 3.2548        | 3.0   | 55785  | 3.4935          | 0.3930   |
| 3.1777        | 4.0   | 74380  | 3.4229          | 0.3988   |
| 3.12          | 5.0   | 92975  | 3.4040          | 0.4021   |
| 3.0819        | 6.0   | 111570 | 3.3716          | 0.4050   |
| 3.0441        | 7.0   | 130165 | 3.3507          | 0.4065   |
| 3.014         | 8.0   | 148760 | 3.3530          | 0.4076   |
| 2.9831        | 9.0   | 167355 | 3.3354          | 0.4096   |
| 2.9561        | 10.0  | 185950 | 3.3654          | 0.4080   |
| 2.9377        | 11.0  | 204545 | 3.3576          | 0.4101   |
| 2.9146        | 12.0  | 223140 | 3.3649          | 0.4106   |
| 2.8927        | 13.0  | 241735 | 3.3646          | 0.4105   |
| 2.8718        | 14.0  | 260330 | 3.3591          | 0.4108   |
| 2.8521        | 15.0  | 278925 | 3.3636          | 0.4114   |
| 2.8348        | 16.0  | 297520 | 3.3807          | 0.4111   |
| 2.8131        | 17.0  | 316115 | 3.3772          | 0.4109   |
| 2.7921        | 18.0  | 334710 | 3.3874          | 0.4110   |
| 2.7743        | 19.0  | 353305 | 3.3928          | 0.4112   |
| 2.7615        | 20.0  | 371900 | 3.4016          | 0.4111   |


### Framework versions

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