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-adj_num_freq_balanced-seed_211-1e-4
  results: []
---

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# smolm-autoreg-bpe-counterfactual-babylm-adj_num_freq_balanced-seed_211-1e-4

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4999
- Accuracy: 0.4024

## 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: 0.0001
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 4.039         | 1.0   | 18629  | 4.2723          | 0.3087   |
| 3.5609        | 2.0   | 37258  | 3.7639          | 0.3620   |
| 3.3837        | 3.0   | 55887  | 3.6041          | 0.3786   |
| 3.2841        | 4.0   | 74516  | 3.5678          | 0.3857   |
| 3.2112        | 5.0   | 93145  | 3.5162          | 0.3911   |
| 3.1608        | 6.0   | 111774 | 3.4931          | 0.3943   |
| 3.1164        | 7.0   | 130403 | 3.4825          | 0.3960   |
| 3.0779        | 8.0   | 149032 | 3.4772          | 0.3975   |
| 3.0424        | 9.0   | 167661 | 3.4669          | 0.3992   |
| 3.0188        | 10.0  | 186290 | 3.4526          | 0.4004   |
| 2.9921        | 11.0  | 204919 | 3.4707          | 0.4006   |
| 2.969         | 12.0  | 223548 | 3.4667          | 0.4011   |
| 2.9473        | 13.0  | 242177 | 3.4682          | 0.4015   |
| 2.9239        | 14.0  | 260806 | 3.4683          | 0.4019   |
| 2.9035        | 15.0  | 279435 | 3.4831          | 0.4016   |
| 2.8845        | 16.0  | 298064 | 3.4649          | 0.4025   |
| 2.8611        | 17.0  | 316693 | 3.4866          | 0.4022   |
| 2.8477        | 18.0  | 335322 | 3.4841          | 0.4027   |
| 2.8308        | 19.0  | 353951 | 3.4953          | 0.4024   |
| 2.8148        | 20.0  | 372580 | 3.4999          | 0.4024   |


### Framework versions

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