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: 0.1739
- Accuracy Thresh: 0.9378
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 |
|---|---|---|---|---|
| No log | 1.0 | 70 | 0.4061 | 0.7867 |
| No log | 2.0 | 140 | 0.3021 | 0.8908 |
| No log | 3.0 | 210 | 0.2387 | 0.9173 |
| No log | 4.0 | 280 | 0.2109 | 0.9276 |
| No log | 5.0 | 350 | 0.1957 | 0.9255 |
| No log | 6.0 | 420 | 0.1861 | 0.9327 |
| No log | 7.0 | 490 | 0.1828 | 0.9337 |
| 0.2647 | 8.0 | 560 | 0.1794 | 0.9337 |
| 0.2647 | 9.0 | 630 | 0.1743 | 0.9367 |
| 0.2647 | 10.0 | 700 | 0.1739 | 0.9378 |
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.0.0+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0