---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smolm-autoreg-bpe-babylm-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-babylm-seed_211-1e-3

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4078
- 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: 128
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.6026        | 1.0   | 18595  | 3.7870          | 0.3578   |
| 3.3834        | 2.0   | 37190  | 3.5755          | 0.3795   |
| 3.2539        | 3.0   | 55785  | 3.4650          | 0.3916   |
| 3.1778        | 4.0   | 74380  | 3.4013          | 0.3993   |
| 3.1219        | 5.0   | 92975  | 3.3872          | 0.4012   |
| 3.0829        | 6.0   | 111570 | 3.3593          | 0.4048   |
| 3.0448        | 7.0   | 130165 | 3.3473          | 0.4077   |
| 3.0113        | 8.0   | 148760 | 3.3620          | 0.4074   |
| 2.9876        | 9.0   | 167355 | 3.3488          | 0.4084   |
| 2.961         | 10.0  | 185950 | 3.3557          | 0.4087   |
| 2.9378        | 11.0  | 204545 | 3.3599          | 0.4096   |
| 2.9178        | 12.0  | 223140 | 3.3431          | 0.4103   |
| 2.8924        | 13.0  | 241735 | 3.3626          | 0.4109   |
| 2.8737        | 14.0  | 260330 | 3.3569          | 0.4114   |
| 2.8492        | 15.0  | 278925 | 3.3599          | 0.4112   |
| 2.8356        | 16.0  | 297520 | 3.3829          | 0.4106   |
| 2.8162        | 17.0  | 316115 | 3.3819          | 0.4111   |
| 2.7966        | 18.0  | 334710 | 3.3926          | 0.4110   |
| 2.7802        | 19.0  | 353305 | 3.3977          | 0.4115   |
| 2.7617        | 20.0  | 371900 | 3.4078          | 0.4111   |


### Framework versions

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