metadata
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: AV_MAE_2class_val_DF1M
results: []
AV_MAE_2class_val_DF1M
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Accuracy: 0.3499
- F1: 0.1814
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 68780
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.3146 | 0.36 | 25032 | 0.2541 | 0.9417 | 0.9416 |
| 0.2137 | 1.36 | 50063 | 0.2133 | 0.9508 | 0.9505 |
| 0.0 | 2.27 | 68780 | nan | 0.3499 | 0.1814 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.1