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tags:
- masked-auto-encoding
- generated_from_trainer
model-index:
- name: pixel-barec-pretrain
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. -->
# pixel-barec-pretrain
This model is a fine-tuned version of [bensapir/pixel-barec-pretrain](https://huggingface.co/bensapir/pixel-barec-pretrain) on the wikipedia + bookcorpus dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6179
## 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: 9.375e-06
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.5
- training_steps: 200000
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:------:|:---------------:|
| 0.8164 | 11.19 | 10000 | 0.7569 |
| 0.7702 | 22.37 | 20000 | 0.7498 |
| 0.7668 | 33.56 | 30000 | 0.7477 |
| 0.7655 | 44.74 | 40000 | 0.7451 |
| 0.7653 | 27.98 | 50000 | 0.7479 |
| 0.7648 | 33.58 | 60000 | 0.7448 |
| 0.7645 | 39.17 | 70000 | 0.7464 |
| 0.7642 | 44.77 | 80000 | 0.7450 |
| 0.7636 | 50.36 | 90000 | 0.7427 |
| 0.7602 | 55.96 | 100000 | 0.7262 |
| 0.7279 | 61.56 | 110000 | 0.6972 |
| 0.6981 | 67.15 | 120000 | 0.6809 |
| 0.6781 | 72.75 | 130000 | 0.6643 |
| 0.6612 | 78.34 | 140000 | 0.6534 |
| 0.6483 | 83.94 | 150000 | 0.6426 |
| 0.6389 | 89.54 | 160000 | 0.6357 |
| 0.6318 | 95.13 | 170000 | 0.6320 |
| 0.6261 | 100.73 | 180000 | 0.6280 |
| 0.6214 | 106.32 | 190000 | 0.6200 |
| 0.6177 | 111.92 | 200000 | 0.6200 |
### Framework versions
- Transformers 4.17.0
- Pytorch 2.5.1
- Datasets 2.1.1.dev0
- Tokenizers 0.21.1
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