metadata
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert_prof_single_v3_128_below_100
results: []
bert_prof_single_v3_128_below_100
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7006
- Accuracy: 0.8568
- F1: 0.8528
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: 8
- eval_batch_size: 8
- 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 | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.8116 | 1.0 | 7610 | 0.8258 | 0.7931 | 0.7751 |
| 0.5959 | 2.0 | 15220 | 0.7485 | 0.8226 | 0.8125 |
| 0.4841 | 3.0 | 22830 | 0.6915 | 0.8375 | 0.8309 |
| 0.3796 | 4.0 | 30440 | 0.7071 | 0.8455 | 0.8403 |
| 0.296 | 5.0 | 38050 | 0.7230 | 0.8512 | 0.8460 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1