metadata
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: finetuned_cont
results: []
finetuned_cont
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4785
- Accuracy: 0.7715
- F1: 0.7703
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-06
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.4967 | 1.0 | 625 | 0.4989 | 0.7565 | 0.7542 |
| 0.4727 | 2.0 | 1250 | 0.4830 | 0.773 | 0.7669 |
| 0.4559 | 3.0 | 1875 | 0.4887 | 0.772 | 0.7637 |
| 0.4395 | 4.0 | 2500 | 0.4785 | 0.7715 | 0.7703 |
Framework versions
- Transformers 4.13.0
- Pytorch 1.12.1+cu113
- Datasets 1.16.1
- Tokenizers 0.10.3