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-measure_nps_as_singular-seed_1024-1e-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-measure_nps_as_singular-seed_1024-1e-4

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4087
- Accuracy: 0.4062

## 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: 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 4.0487        | 1.0   | 18601  | 4.2682          | 0.3090   |
| 3.5578        | 2.0   | 37202  | 3.7505          | 0.3628   |
| 3.3894        | 3.0   | 55803  | 3.5716          | 0.3796   |
| 3.2819        | 4.0   | 74404  | 3.4925          | 0.3888   |
| 3.2166        | 5.0   | 93005  | 3.4777          | 0.3930   |
| 3.1648        | 6.0   | 111606 | 3.4462          | 0.3961   |
| 3.1223        | 7.0   | 130207 | 3.4264          | 0.3987   |
| 3.0866        | 8.0   | 148808 | 3.4222          | 0.3996   |
| 3.0568        | 9.0   | 167409 | 3.4208          | 0.4009   |
| 3.0304        | 10.0  | 186010 | 3.3841          | 0.4035   |
| 3.0072        | 11.0  | 204611 | 3.3852          | 0.4041   |
| 2.9799        | 12.0  | 223212 | 3.3953          | 0.4040   |
| 2.9634        | 13.0  | 241813 | 3.3951          | 0.4050   |
| 2.9416        | 14.0  | 260414 | 3.4000          | 0.4049   |
| 2.9207        | 15.0  | 279015 | 3.3909          | 0.4055   |
| 2.9003        | 16.0  | 297616 | 3.3938          | 0.4058   |
| 2.8853        | 17.0  | 316217 | 3.4013          | 0.4062   |
| 2.8648        | 18.0  | 334818 | 3.4039          | 0.4062   |
| 2.8539        | 19.0  | 353419 | 3.4058          | 0.4060   |
| 2.835         | 20.0  | 372020 | 3.4087          | 0.4062   |


### Framework versions

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