metadata
library_name: transformers
license: apache-2.0
base_model: x2bee/KoModernBERT-base-mlm-v01
tags:
- generated_from_trainer
model-index:
- name: KoModernBERT-base-mlm-v01-ckp01
results: []
KoModernBERT-base-mlm-v01-ckp01
This model is a fine-tuned version of x2bee/KoModernBERT-base-mlm-v01 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7654
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: 1e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 512
- total_eval_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 25.1808 | 0.1051 | 1000 | 3.1264 |
| 24.5518 | 0.2102 | 2000 | 3.0455 |
| 23.9605 | 0.3153 | 3000 | nan |
| 23.8549 | 0.4204 | 4000 | 2.9420 |
| 23.2944 | 0.5255 | 5000 | 2.9115 |
| 23.0988 | 0.6306 | 6000 | 2.8620 |
| 22.7786 | 0.7357 | 7000 | 2.8250 |
| 22.4325 | 0.8408 | 8000 | 2.7785 |
| 21.9527 | 0.9459 | 9000 | 2.7654 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0