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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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