---
library_name: transformers

tags:
- generated_from_trainer
model-index:
- name: roberta-mlm-model-v1
  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. -->

# roberta-mlm-model-v1

This model is a fine-tuned version of [roberta-mlm-model-v1/checkpoint-60000](https://huggingface.co//home/uet/DucDo/GHTK/roberta-mlm-model-v1/checkpoint-60000) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: nan

## 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: 32
- eval_batch_size: 32
- seed: 42
- 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_steps: 1000
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step   | Validation Loss |
|:-------------:|:------:|:------:|:---------------:|
| 0.0           | 0.1242 | 5000   | nan             |
| 0.0           | 0.2483 | 10000  | nan             |
| 0.0           | 0.3725 | 15000  | nan             |
| 0.0           | 0.4966 | 20000  | nan             |
| 0.0           | 0.6208 | 25000  | nan             |
| 0.0           | 0.7449 | 30000  | nan             |
| 0.0           | 0.8691 | 35000  | nan             |
| 0.0           | 0.9932 | 40000  | nan             |
| 0.0           | 1.1174 | 45000  | nan             |
| 0.0           | 1.2416 | 50000  | nan             |
| 0.0           | 1.3657 | 55000  | nan             |
| 0.0           | 1.4899 | 60000  | nan             |
| 0.0           | 1.6140 | 65000  | nan             |
| 0.0           | 1.7382 | 70000  | nan             |
| 0.0           | 1.8623 | 75000  | nan             |
| 0.0           | 1.9865 | 80000  | nan             |
| 0.0           | 2.1106 | 85000  | nan             |
| 0.0           | 2.2348 | 90000  | nan             |
| 0.0           | 2.3590 | 95000  | nan             |
| 0.0           | 2.4831 | 100000 | nan             |
| 0.0           | 2.6073 | 105000 | nan             |
| 0.0           | 2.7314 | 110000 | nan             |
| 0.0           | 2.8556 | 115000 | nan             |
| 0.0           | 2.9797 | 120000 | nan             |
| 0.0           | 3.1039 | 125000 | nan             |
| 0.0           | 3.2280 | 130000 | nan             |
| 0.0           | 3.3522 | 135000 | nan             |
| 0.0           | 3.4764 | 140000 | nan             |
| 0.0           | 3.6005 | 145000 | nan             |
| 0.0           | 3.7247 | 150000 | nan             |
| 0.0           | 3.8488 | 155000 | nan             |
| 0.0           | 3.9730 | 160000 | nan             |


### Framework versions

- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1