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: 3.6138
- Accuracy Thresh: 0.9404
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 |
|---|---|---|---|---|
| 0.2497 | 1.0 | 845 | 2.3781 | 0.9358 |
| 0.253 | 2.0 | 1690 | 2.4414 | 0.9311 |
| 0.2419 | 3.0 | 2535 | 3.1739 | 0.9374 |
| 0.1993 | 4.0 | 3380 | 2.9218 | 0.9409 |
| 0.158 | 5.0 | 4225 | 3.5374 | 0.9395 |
| 0.142 | 6.0 | 5070 | 3.8794 | 0.9398 |
| 0.1521 | 7.0 | 5915 | 3.7040 | 0.9399 |
| 0.1409 | 8.0 | 6760 | 3.5779 | 0.9401 |
| 0.1336 | 9.0 | 7605 | 3.7745 | 0.9413 |
| 0.1144 | 10.0 | 8450 | 3.6138 | 0.9404 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.0.0+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0