tmp_trainer
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.7463
- eval_model_preparation_time: 0.0036
- eval_accuracy: 0.49
- eval_precision: 0.0577
- eval_recall: 0.6
- eval_f1: 0.1053
- eval_runtime: 18.6792
- eval_samples_per_second: 5.354
- eval_steps_per_second: 0.696
- step: 0
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0
Framework versions
- Transformers 5.2.0
- Pytorch 2.9.1+cu128
- Datasets 4.5.0
- Tokenizers 0.22.1
