metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased__subj__train-8-0
results: []
distilbert-base-uncased__subj__train-8-0
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4440
- Accuracy: 0.789
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.7163 | 1.0 | 3 | 0.6868 | 0.5 |
0.6683 | 2.0 | 6 | 0.6804 | 0.75 |
0.6375 | 3.0 | 9 | 0.6702 | 0.75 |
0.5997 | 4.0 | 12 | 0.6686 | 0.75 |
0.5345 | 5.0 | 15 | 0.6720 | 0.75 |
0.4673 | 6.0 | 18 | 0.6646 | 0.75 |
0.4214 | 7.0 | 21 | 0.6494 | 0.75 |
0.3439 | 8.0 | 24 | 0.6313 | 0.75 |
0.3157 | 9.0 | 27 | 0.6052 | 0.75 |
0.2329 | 10.0 | 30 | 0.5908 | 0.75 |
0.1989 | 11.0 | 33 | 0.5768 | 0.75 |
0.1581 | 12.0 | 36 | 0.5727 | 0.75 |
0.1257 | 13.0 | 39 | 0.5678 | 0.75 |
0.1005 | 14.0 | 42 | 0.5518 | 0.75 |
0.0836 | 15.0 | 45 | 0.5411 | 0.75 |
0.0611 | 16.0 | 48 | 0.5320 | 0.75 |
0.0503 | 17.0 | 51 | 0.5299 | 0.75 |
0.0407 | 18.0 | 54 | 0.5368 | 0.75 |
0.0332 | 19.0 | 57 | 0.5455 | 0.75 |
0.0293 | 20.0 | 60 | 0.5525 | 0.75 |
0.0254 | 21.0 | 63 | 0.5560 | 0.75 |
0.0231 | 22.0 | 66 | 0.5569 | 0.75 |
0.0201 | 23.0 | 69 | 0.5572 | 0.75 |
0.0179 | 24.0 | 72 | 0.5575 | 0.75 |
0.0184 | 25.0 | 75 | 0.5547 | 0.75 |
0.0148 | 26.0 | 78 | 0.5493 | 0.75 |
0.0149 | 27.0 | 81 | 0.5473 | 0.75 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2
- Tokenizers 0.10.3