metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: aift-model-review-multiple-label-classification
results: []
aift-model-review-multiple-label-classification
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: 2.4463
- Accuracy Thresh: 0.9341
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
- distributed_type: tpu
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy Thresh |
|---|---|---|---|---|
| 1.9127 | 1.0 | 851 | 0.9906 | 0.8086 |
| 0.8577 | 2.0 | 1702 | 1.0184 | 0.8701 |
| 0.6468 | 3.0 | 2553 | 1.0851 | 0.8901 |
| 0.494 | 4.0 | 3404 | 1.2894 | 0.9122 |
| 0.3875 | 5.0 | 4255 | 1.6629 | 0.9232 |
| 0.3422 | 6.0 | 5106 | 1.7630 | 0.9212 |
| 0.3121 | 7.0 | 5957 | 1.9873 | 0.9274 |
| 0.283 | 8.0 | 6808 | 2.3035 | 0.9328 |
| 0.2385 | 9.0 | 7659 | 2.4651 | 0.9338 |
| 0.1973 | 10.0 | 8510 | 2.4463 | 0.9341 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.0.0+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0