---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smolm-autoreg-bpe-counterfactual_babylm_naans_new-3e-4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# smolm-autoreg-bpe-counterfactual_babylm_naans_new-3e-4

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4288
- Accuracy: 0.4092

## 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: 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.7356        | 1.0   | 18595  | 3.8848          | 0.3475   |
| 3.4297        | 2.0   | 37190  | 3.6216          | 0.3763   |
| 3.2928        | 3.0   | 55785  | 3.5005          | 0.3889   |
| 3.2003        | 4.0   | 74380  | 3.4656          | 0.3952   |
| 3.1447        | 5.0   | 92975  | 3.4068          | 0.3994   |
| 3.0991        | 6.0   | 111570 | 3.4298          | 0.4022   |
| 3.0592        | 7.0   | 130165 | 3.3990          | 0.4041   |
| 3.0279        | 8.0   | 148760 | 3.3796          | 0.4057   |
| 2.9978        | 9.0   | 167355 | 3.3757          | 0.4063   |
| 2.9761        | 10.0  | 185950 | 3.3907          | 0.4068   |
| 2.9464        | 11.0  | 204545 | 3.3881          | 0.4073   |
| 2.9236        | 12.0  | 223140 | 3.3905          | 0.4080   |
| 2.907         | 13.0  | 241735 | 3.3880          | 0.4087   |
| 2.8803        | 14.0  | 260330 | 3.3927          | 0.4088   |
| 2.8614        | 15.0  | 278925 | 3.3924          | 0.4091   |
| 2.8414        | 16.0  | 297520 | 3.3970          | 0.4098   |
| 2.8226        | 17.0  | 316115 | 3.4111          | 0.4092   |
| 2.8063        | 18.0  | 334710 | 3.4199          | 0.4091   |
| 2.7905        | 19.0  | 353305 | 3.4234          | 0.4093   |
| 2.7753        | 20.0  | 371900 | 3.4288          | 0.4092   |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.19.1