train-freezed_bert-bs_128-base-lr_2e05-weighted-dice_0.2
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.7180
- eval_precision: 0.1805
- eval_recall: 0.6972
- eval_f1: 0.2868
- eval_accuracy: 0.9464
- eval_runtime: 0.7996
- eval_samples_per_second: 566.566
- eval_steps_per_second: 5.003
- 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: 2e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 15
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
