| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: model_base_5120 | |
| 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. --> | |
| # model_base_5120 | |
| 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: 5.0825 | |
| - Accuracy: 0.2308 | |
| ## 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: 4e-05 | |
| - train_batch_size: 96 | |
| - eval_batch_size: 96 | |
| - seed: 42 | |
| - distributed_type: multi-GPU | |
| - num_devices: 8 | |
| - total_train_batch_size: 768 | |
| - total_eval_batch_size: 768 | |
| - optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 10000 | |
| - training_steps: 100000 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.35.2 | |
| - Pytorch 2.8.0+cu128 | |
| - Datasets 4.4.1 | |
| - Tokenizers 0.15.2 | |