---
base_model: models/smolm-mlm/config.json
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smolm-mlm-bpe-unmask-seed_444
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# smolm-mlm-bpe-unmask-seed_444

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: 2.7042
- Accuracy: 0.4475

## 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: 444
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.5523        | 1.0   | 11938  | 3.4904          | 0.3512   |
| 3.3151        | 2.0   | 23876  | 3.3192          | 0.3678   |
| 3.1526        | 3.0   | 35814  | 3.1545          | 0.3894   |
| 3.0031        | 4.0   | 47752  | 3.0706          | 0.3971   |
| 2.9668        | 5.0   | 59690  | 2.9606          | 0.4121   |
| 2.8548        | 6.0   | 71628  | 2.8717          | 0.4244   |
| 2.7686        | 7.0   | 83566  | 2.8147          | 0.4311   |
| 2.7195        | 8.0   | 95504  | 2.7657          | 0.4389   |
| 2.6659        | 9.0   | 107442 | 2.7103          | 0.4483   |
| 2.6254        | 10.0  | 119380 | 2.6990          | 0.4510   |


### Framework versions

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