metadata
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-scratch-powo_mgh_pt
results: []
distilbert-base-uncased-scratch-powo_mgh_pt
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.0408
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: 5
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.4584 | 0.2 | 200 | 4.7806 |
| 4.6385 | 0.41 | 400 | 4.3704 |
| 4.2219 | 0.61 | 600 | 4.0727 |
| 3.994 | 0.81 | 800 | 3.8772 |
| 3.8048 | 1.01 | 1000 | 3.6894 |
| 3.6722 | 1.22 | 1200 | 3.5732 |
| 3.4828 | 1.42 | 1400 | 3.4203 |
| 3.3648 | 1.62 | 1600 | 3.3634 |
| 3.3918 | 1.83 | 1800 | 3.2685 |
| 3.3919 | 2.03 | 2000 | 3.2027 |
| 3.1715 | 2.23 | 2200 | 3.1365 |
| 3.0635 | 2.43 | 2400 | 3.1228 |
| 3.0804 | 2.64 | 2600 | 3.0595 |
| 3.0468 | 2.84 | 2800 | 3.0318 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1