---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smolm-autoreg-bpe-counterfactual_babylm_aann_high_variability_noun-seed_1024-1e-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_aann_high_variability_noun-seed_1024-1e-3

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4042
- Accuracy: 0.4105

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.5971        | 1.0   | 18594  | 3.7361          | 0.3618   |
| 3.3831        | 2.0   | 37188  | 3.5640          | 0.3810   |
| 3.2562        | 3.0   | 55782  | 3.4518          | 0.3928   |
| 3.1823        | 4.0   | 74376  | 3.4151          | 0.3979   |
| 3.123         | 5.0   | 92970  | 3.3895          | 0.4020   |
| 3.0779        | 6.0   | 111564 | 3.3728          | 0.4045   |
| 3.0394        | 7.0   | 130158 | 3.3513          | 0.4068   |
| 3.0098        | 8.0   | 148752 | 3.3329          | 0.4091   |
| 2.9848        | 9.0   | 167346 | 3.3543          | 0.4096   |
| 2.9607        | 10.0  | 185940 | 3.3317          | 0.4102   |
| 2.9381        | 11.0  | 204534 | 3.3509          | 0.4096   |
| 2.9132        | 12.0  | 223128 | 3.3383          | 0.4106   |
| 2.8884        | 13.0  | 241722 | 3.3772          | 0.4105   |
| 2.8698        | 14.0  | 260316 | 3.3457          | 0.4117   |
| 2.8512        | 15.0  | 278910 | 3.3592          | 0.4110   |
| 2.828         | 16.0  | 297504 | 3.3782          | 0.4106   |
| 2.813         | 17.0  | 316098 | 3.3778          | 0.4109   |
| 2.7978        | 18.0  | 334692 | 3.3931          | 0.4105   |
| 2.7756        | 19.0  | 353286 | 3.3947          | 0.4107   |
| 2.7571        | 20.0  | 371880 | 3.4042          | 0.4105   |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.19.1