metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: ikitracks_netzero
results: []
ikitracks_netzero
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6413
- F1: 0.8937
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: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.5893 | 1.0 | 109 | 0.5676 | 0.7279 |
| 0.4443 | 2.0 | 218 | 0.4950 | 0.8381 |
| 0.251 | 3.0 | 327 | 0.3594 | 0.9310 |
| 0.1216 | 4.0 | 436 | 0.4582 | 0.9325 |
| 0.0418 | 5.0 | 545 | 0.6413 | 0.8937 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2