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: 0.1798
- Accuracy Thresh: 0.9347
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 | 0.4152 | 0.8684 |
| No log | 2.0 | 140 | 0.3026 | 0.9010 |
| No log | 3.0 | 210 | 0.2406 | 0.9286 |
| No log | 4.0 | 280 | 0.2176 | 0.9316 |
| No log | 5.0 | 350 | 0.2038 | 0.9245 |
| No log | 6.0 | 420 | 0.1924 | 0.9296 |
| No log | 7.0 | 490 | 0.1900 | 0.9265 |
| 0.2652 | 8.0 | 560 | 0.1868 | 0.9286 |
| 0.2652 | 9.0 | 630 | 0.1804 | 0.9367 |
| 0.2652 | 10.0 | 700 | 0.1798 | 0.9347 |
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.0.0+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0