---
base_model: models/smolm-mlm/config.json
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smolm-mlm-bpe-unmask-seed_222
  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-mlm-bpe-unmask-seed_222

This model is a fine-tuned version of [models/smolm-mlm/config.json](https://huggingface.co/models/smolm-mlm/config.json) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7005
- Accuracy: 0.4481

## 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: 0.0005
- train_batch_size: 64
- eval_batch_size: 512
- seed: 222
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 24000
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Accuracy |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.5334        | 1.0   | 11938  | 3.4896          | 0.3463   |
| 3.3402        | 2.0   | 23876  | 3.3814          | 0.3590   |
| 3.1641        | 3.0   | 35814  | 3.1702          | 0.3844   |
| 3.0325        | 4.0   | 47752  | 3.0475          | 0.4019   |
| 2.951         | 5.0   | 59690  | 2.9666          | 0.4095   |
| 2.8583        | 6.0   | 71628  | 2.8908          | 0.4201   |
| 2.7872        | 7.0   | 83566  | 2.8299          | 0.4310   |
| 2.7348        | 8.0   | 95504  | 2.7900          | 0.4335   |
| 2.6584        | 9.0   | 107442 | 2.7272          | 0.4443   |
| 2.6462        | 10.0  | 119380 | 2.6962          | 0.4501   |


### Framework versions

- Transformers 4.32.1
- Pytorch 1.13.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3