---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smolm-autoreg-bpe-counterfactual-babylm-no_prototypical-seed_211-3e-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-no_prototypical-seed_211-3e-4

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4074
- Accuracy: 0.4086

## 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: 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.7439        | 1.0   | 18593  | 3.9121          | 0.3459   |
| 3.438         | 2.0   | 37186  | 3.6178          | 0.3756   |
| 3.2947        | 3.0   | 55779  | 3.4715          | 0.3901   |
| 3.2076        | 4.0   | 74372  | 3.4140          | 0.3965   |
| 3.1477        | 5.0   | 92965  | 3.3983          | 0.3996   |
| 3.1015        | 6.0   | 111558 | 3.3692          | 0.4021   |
| 3.0662        | 7.0   | 130151 | 3.3772          | 0.4036   |
| 3.0315        | 8.0   | 148744 | 3.3735          | 0.4036   |
| 3.0003        | 9.0   | 167337 | 3.3651          | 0.4057   |
| 2.9732        | 10.0  | 185930 | 3.3708          | 0.4063   |
| 2.9496        | 11.0  | 204523 | 3.3636          | 0.4073   |
| 2.9243        | 12.0  | 223116 | 3.3660          | 0.4085   |
| 2.9041        | 13.0  | 241709 | 3.3552          | 0.4089   |
| 2.8866        | 14.0  | 260302 | 3.3649          | 0.4087   |
| 2.8654        | 15.0  | 278895 | 3.3720          | 0.4086   |
| 2.846         | 16.0  | 297488 | 3.3842          | 0.4086   |
| 2.8252        | 17.0  | 316081 | 3.3945          | 0.4084   |
| 2.8084        | 18.0  | 334674 | 3.4002          | 0.4086   |
| 2.7871        | 19.0  | 353267 | 3.3996          | 0.4087   |
| 2.7718        | 20.0  | 371860 | 3.4074          | 0.4086   |


### Framework versions

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