| --- |
| library_name: transformers |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: pretrained_model |
| 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. --> |
|
|
| # pretrained_model |
| |
| This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5383 |
| |
| ## 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: 0.0006 |
| - train_batch_size: 1024 |
| - eval_batch_size: 1024 |
| - seed: 42 |
| - optimizer: Use adamw_torch with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 100000 |
| - num_epochs: 3 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:------:|:---------------:| |
| | 0.5377 | 0.4546 | 100000 | 0.5496 | |
| | 0.5313 | 0.9092 | 200000 | 0.5442 | |
| | 0.5307 | 1.3639 | 300000 | 0.5422 | |
| | 0.5282 | 1.8185 | 400000 | 0.5406 | |
| | 0.5266 | 2.2731 | 500000 | 0.5393 | |
| | 0.5248 | 2.7277 | 600000 | 0.5383 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.51.1 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.5.0 |
| - Tokenizers 0.21.1 |
|
|
